arXiv - QuanBio - Populations and Evolution最新文献_第7页

Circuit design in biology and machine learning. I. Random networks and dimensional reduction 生物学和机器学习中的电路设计I. 随机网络和降维

arXiv - QuanBio - Populations and Evolution Pub Date : 2024-08-18 DOI: arxiv-2408.09604

Steven A. Frank

{"title":"Circuit design in biology and machine learning. I. Random networks and dimensional reduction","authors":"Steven A. Frank","doi":"arxiv-2408.09604","DOIUrl":"https://doi.org/arxiv-2408.09604","url":null,"abstract":"A biological circuit is a neural or biochemical cascade, taking inputs and\u0000producing outputs. How have biological circuits learned to solve environmental\u0000challenges over the history of life? The answer certainly follows Dobzhansky's\u0000famous quote that ``nothing in biology makes sense except in the light of\u0000evolution.'' But that quote leaves out the mechanistic basis by which natural\u0000selection's trial-and-error learning happens, which is exactly what we have to\u0000understand. How does the learning process that designs biological circuits\u0000actually work? How much insight can we gain about the form and function of\u0000biological circuits by studying the processes that have made those circuits?\u0000Because life's circuits must often solve the same problems as those faced by\u0000machine learning, such as environmental tracking, homeostatic control,\u0000dimensional reduction, or classification, we can begin by considering how\u0000machine learning designs computational circuits to solve problems. We can then\u0000ask: How much insight do those computational circuits provide about the design\u0000of biological circuits? How much does biology differ from computers in the\u0000particular circuit designs that it uses to solve problems? This article steps\u0000through two classic machine learning models to set the foundation for analyzing\u0000broad questions about the design of biological circuits. One insight is the\u0000surprising power of randomly connected networks. Another is the central role of\u0000internal models of the environment embedded within biological circuits,\u0000illustrated by a model of dimensional reduction and trend prediction. Overall,\u0000many challenges in biology have machine learning analogs, suggesting hypotheses\u0000about how biology's circuits are designed.","PeriodicalId":501044,"journal":{"name":"arXiv - QuanBio - Populations and Evolution","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142204372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting potential SARS-CoV-2 spillover and spillback in animals 预测 SARS-CoV-2 在动物体内的潜在蔓延和回溢

arXiv - QuanBio - Populations and Evolution Pub Date : 2024-08-18 DOI: arxiv-2408.09555

Zi Hian Tan, Kian Yan Yong, Jian-Jun Shu

{"title":"Predicting potential SARS-CoV-2 spillover and spillback in animals","authors":"Zi Hian Tan, Kian Yan Yong, Jian-Jun Shu","doi":"arxiv-2408.09555","DOIUrl":"https://doi.org/arxiv-2408.09555","url":null,"abstract":"The COVID-19 pandemic is spreading rapidly around the world, causing\u0000countries to impose lockdowns and efforts to develop vaccines on a global\u0000scale. However, human-to-animal and animal-to-human transmission cannot be\u0000ignored, as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can\u0000spread rapidly in farmed and wild animals. This could create a worrying cycle\u0000of SARS-CoV-2 spillover from humans to animals and spillback of new strains\u0000back into humans, rendering vaccines ineffective. This study provides a key\u0000indicator of animals that may be potential susceptible hosts for SARS-CoV-2 and\u0000coronavirus infections by analysing the phylogenetic distance between host\u0000angiotensin-converting enzyme 2 and the coronavirus spike protein. Crucially,\u0000our analysis identifies animals that are at elevated risk from a spillover and\u0000spillback incident. One group of animals has been identified as potentially\u0000susceptible to SARS-CoV-2 by harbouring a parasitic coronavirus spike protein\u0000similar to the SARS-CoV-2 spike protein. These animals may serve as\u0000amplification hosts in spillover events from zoonotic reservoirs. Tracing\u0000interspecies transmission in multi-host environments based solely on in vitro\u0000and in vivo examinations of animal susceptibility or serology is a\u0000time-consuming task. This approach allows rapid identification of high-risk\u0000animals to prioritize research and assessment of the risk of zoonotic disease\u0000transmission in the environment. It is a tool to rapidly identify zoonotic\u0000species that may cause outbreaks or participate in expansion cycles of\u0000coexistence with their hosts. This prevents the spread of coronavirus\u0000infections between species, preventing spillover and spillback incidents from\u0000occurring.","PeriodicalId":501044,"journal":{"name":"arXiv - QuanBio - Populations and Evolution","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142204371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Constructing the Molecular Tree of Life using Assembly Theory and Mass Spectrometry 利用组装理论和质谱技术构建生命分子树

arXiv - QuanBio - Populations and Evolution Pub Date : 2024-08-17 DOI: arxiv-2408.09305

Amit Kahana, Alasdair MacLeod, Hessam Mehr, Abhishek Sharma, Emma Carrick, Michael Jirasek, Sara Walker, Leroy Cronin

{"title":"Constructing the Molecular Tree of Life using Assembly Theory and Mass Spectrometry","authors":"Amit Kahana, Alasdair MacLeod, Hessam Mehr, Abhishek Sharma, Emma Carrick, Michael Jirasek, Sara Walker, Leroy Cronin","doi":"arxiv-2408.09305","DOIUrl":"https://doi.org/arxiv-2408.09305","url":null,"abstract":"Here we demonstrate the first biochemistry-agnostic approach to map\u0000evolutionary relationships at the molecular scale, allowing the construction of\u0000phylogenetic models using mass spectrometry (MS) and Assembly Theory (AT)\u0000without elucidating molecular identities. AT allows us to estimate the\u0000complexity of molecules by deducing the amount of shared information stored\u0000within them when . By examining 74 samples from a diverse range of biotic and\u0000abiotic sources, we used tandem MS data to detect 24102 analytes (9262 unique)\u0000and 59518 molecular fragments (6755 unique). Using this MS dataset, together\u0000with AT, we were able to infer the joint assembly spaces (JAS) of samples from\u0000molecular analytes. We show how JAS allows agnostic annotation of samples\u0000without fingerprinting exact analyte identities, facilitating accurate\u0000determination of their biogenicity and taxonomical grouping. Furthermore, we\u0000developed an AT-based framework to construct a biochemistry-agnostic\u0000phylogenetic tree which is consistent with genome-based models and outperforms\u0000other similarity-based algorithms. Finally, we were able to use AT to track\u0000colony lineages of a single bacterial species based on phenotypic variation in\u0000their molecular composition with high accuracy, which would be challenging to\u0000track with genomic data. Our results demonstrate how AT can expand causal\u0000molecular inference to non-sequence information without requiring exact\u0000molecular identities, thereby opening the possibility to study previously\u0000inaccessible biological domains.","PeriodicalId":501044,"journal":{"name":"arXiv - QuanBio - Populations and Evolution","volume":"66 2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142204370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Noisy information channel mediated prevention of the tragedy of the commons 以嘈杂信息渠道为媒介防止公地悲剧的发生

arXiv - QuanBio - Populations and Evolution Pub Date : 2024-08-16 DOI: arxiv-2408.08744

Samrat Sohel Mondal, Sagar Chakraborty

{"title":"Noisy information channel mediated prevention of the tragedy of the commons","authors":"Samrat Sohel Mondal, Sagar Chakraborty","doi":"arxiv-2408.08744","DOIUrl":"https://doi.org/arxiv-2408.08744","url":null,"abstract":"Synergy between evolutionary dynamics of cooperation and fluctuating state of\u0000shared resource being consumed by the cooperators is essential for averting the\u0000tragedy of the commons. Not only in humans, but also in the cognitively-limited\u0000organisms, this interplay between the resource and the cooperation is\u0000ubiquitously witnessed. The strategically interacting players engaged in such\u0000game-environment feedback scenarios naturally pick strategies based on their\u0000perception of the environmental state. Such perception invariably happens\u0000through some sensory information channels that the players are endowed with.\u0000The unfortunate reality is that any sensory channel must be noisy due to\u0000various factors; consequently, the perception of the environmental state\u0000becomes faulty rendering the players incapable of adopting the strategy that\u0000they otherwise would. Intriguingly, situation is not as bad as it sounds. Here\u0000we introduce the hitherto neglected information channel between players and the\u0000environment into the paradigm of stochastic evolutionary games with a view to\u0000bringing forward the counterintuitive possibility of emergence and sustenance\u0000of cooperation on account of the noise in the channel. Our primary study is in\u0000the simplest non-trivial setting of two-state stochastically fluctuating\u0000resource harnessed by a large unstructured population of cooperators and\u0000defectors adopting either memory-1 strategies or reactive strategies while\u0000engaged in repeated two-player interactions. The effect of noisy information\u0000channel in enhancing the cooperation in reactive-strategied population is\u0000unprecedented. We find that the propensity of cooperation in the population is\u0000inversely related to the mutual information (normalized by the channel\u0000capacity) of the corresponding information channel.","PeriodicalId":501044,"journal":{"name":"arXiv - QuanBio - Populations and Evolution","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142204216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysing pandemics in phase-space 从阶段空间分析大流行病

arXiv - QuanBio - Populations and Evolution Pub Date : 2024-08-15 DOI: arxiv-2408.08036

Olivier Merlo

引用次数: 0

Stochastic diffusion using mean-field limits to approximate master equations 利用平均场极限近似主方程的随机扩散

arXiv - QuanBio - Populations and Evolution Pub Date : 2024-08-14 DOI: arxiv-2408.07755

Laurent Hébert-Dufresne, Matthew M. Kling, Samuel F. Rosenblatt, Stephanie N. Miller, P. Alexander Burnham, Nicholas W. Landry, Nicholas J. Gotelli, Brian J. McGill

{"title":"Stochastic diffusion using mean-field limits to approximate master equations","authors":"Laurent Hébert-Dufresne, Matthew M. Kling, Samuel F. Rosenblatt, Stephanie N. Miller, P. Alexander Burnham, Nicholas W. Landry, Nicholas J. Gotelli, Brian J. McGill","doi":"arxiv-2408.07755","DOIUrl":"https://doi.org/arxiv-2408.07755","url":null,"abstract":"Stochastic diffusion is the noisy and uncertain process through which\u0000dynamics like epidemics, or agents like animal species, disperse over a larger\u0000area. Understanding these processes is becoming increasingly important as we\u0000attempt to better prepare for potential pandemics and as species ranges shift\u0000in response to climate change. Unfortunately, modeling of stochastic diffusion\u0000is mostly done through inaccurate deterministic tools that fail to capture the\u0000random nature of dispersal or else through expensive computational simulations.\u0000In particular, standard tools fail to fully capture the heterogeneity of the\u0000area over which this diffusion occurs. Rural areas with low population density\u0000require different epidemic models than urban areas; likewise, the edges of a\u0000species range require us to explicitly track low integer numbers of individuals\u0000rather than vague averages. In this work, we introduce a series of new tools\u0000called \"mean-FLAME\" models that track stochastic dispersion using approximate\u0000master equations that explicitly follow the probability distribution of an area\u0000of interest over all of its possible states, up to states that are active\u0000enough to be approximated using a mean-field model. In one limit, this approach\u0000is locally exact if we explicitly track enough states, and in the other limit\u0000collapses back to traditional deterministic models if we track no state\u0000explicitly. Applying this approach, we show how deterministic tools fail to\u0000capture the uncertainty around the speed of nonlinear dynamical processes. This\u0000is especially true for marginal areas that are close to unsuitable for\u0000diffusion, like the edge of a species range or epidemics in small populations.\u0000Capturing the uncertainty in such areas is key to producing accurate forecasts\u0000and guiding potential interventions.","PeriodicalId":501044,"journal":{"name":"arXiv - QuanBio - Populations and Evolution","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142204420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dwellers in the Deep: Biological Consequences of Dark Oxygen 深海居民：暗氧的生物后果

arXiv - QuanBio - Populations and Evolution Pub Date : 2024-08-13 DOI: arxiv-2408.06841

Manasvi Lingam, Amedeo Balbi, Madhur Tiwari

{"title":"Dwellers in the Deep: Biological Consequences of Dark Oxygen","authors":"Manasvi Lingam, Amedeo Balbi, Madhur Tiwari","doi":"arxiv-2408.06841","DOIUrl":"https://doi.org/arxiv-2408.06841","url":null,"abstract":"The striking recent putative detection of \"dark oxygen\" (dark O$_2$) sources\u0000on the abyssal ocean floor in the Pacific at $sim 4$ km depth raises the\u0000intriguing scenario that complex (i.e., animal-like) life could exist in\u0000underwater environments sans oxygenic photosynthesis. In this work, we thus\u0000explore the possible (astro)biological implications of this discovery. From the\u0000available data, we roughly estimate the concentration of dissolved O$_2$ and\u0000the corresponding O$_2$ partial pressure, as well as the flux of O$_2$\u0000production, associated with dark oxygen sources. Based on these values, we\u0000infer that organisms limited by internal diffusion may reach maximal sizes of\u0000$sim 0.1-1$ mm in habitats with dark O$_2$, while those with circulatory\u0000systems might achieve sizes of $sim 0.1-10$ cm. Optimistically, the estimated\u0000dark oxygen flux can potentially support biomass densities up to $sim 3-30$ g\u0000m$^{-2}$, perhaps surpassing typical reported densities at similar depths in\u0000global deep-sea surveys. Finally, we outline how oceanic settings with dark\u0000O$_2$ may facilitate the origin(s) of life via the emergence of electrotrophy.\u0000Our findings indicate that complex life fueled by dark oxygen is plausibly\u0000capable of inhabiting submarine environments devoid of photosynthesis on Earth,\u0000conceivably extending likewise to extraterrestrial locations such as icy worlds\u0000with subsurface oceans (e.g., Enceladus and Europa), which are likely common\u0000throughout the Universe.","PeriodicalId":501044,"journal":{"name":"arXiv - QuanBio - Populations and Evolution","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142204424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A complete characterization of pairs of binary phylogenetic trees with identical $A_k$-alignments 具有相同 A_k$ 对齐结果的成对二元系统发生树的完整表征

arXiv - QuanBio - Populations and Evolution Pub Date : 2024-08-13 DOI: arxiv-2408.07011

Mirko Wilde, Mareike Fischer

{"title":"A complete characterization of pairs of binary phylogenetic trees with identical $A_k$-alignments","authors":"Mirko Wilde, Mareike Fischer","doi":"arxiv-2408.07011","DOIUrl":"https://doi.org/arxiv-2408.07011","url":null,"abstract":"Phylogenetic trees play a key role in the reconstruction of evolutionary\u0000relationships. Typically, they are derived from aligned sequence data (like\u0000DNA, RNA, or proteins) by using optimization criteria like, e.g., maximum\u0000parsimony (MP). It is believed that the latter is able to reconstruct the\u0000enquote{true} tree, i.e., the tree that generated the data, whenever the\u0000number of substitutions required to explain the data with that tree is\u0000relatively small compared to the size of the tree (measured in the number $n$\u0000of leaves of the tree, which represent the species under investigation).\u0000However, reconstructing the correct tree from any alignment first and foremost\u0000requires the given alignment to perform differently on the enquote{correct}\u0000tree than on others. A special type of alignments, namely so-called $A_k$-alignments, has gained\u0000considerable interest in recent literature. These alignments consist of all\u0000binary characters (enquote{sites}) which require precisely $k$ substitutions\u0000on a given tree. It has been found that whenever $k$ is small enough (in\u0000comparison to $n$), $A_k$-alignments uniquely characterize the trees that\u0000generated them. However, recent literature has left a significant gap between\u0000$kleq 2k+2$ -- namely the cases in which no such characterization is possible\u0000-- and $kgeq 4k$ -- namely the cases in which this characterization works. It\u0000is the main aim of the present manuscript to close this gap, i.e., to present a\u0000full characterization of all pairs of trees that share the same\u0000$A_k$-alignment. In particular, we show that indeed every binary phylogenetic\u0000tree with $n$ leaves is uniquely defined by its $A_k$-alignments if $ngeq\u00002k+3$. By closing said gap, we also ensure that our result is optimal.","PeriodicalId":501044,"journal":{"name":"arXiv - QuanBio - Populations and Evolution","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142204419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Influence of bovines and rodents in the spread of schistosomiasis across the ricefield-lakescape of Lake Mainit, Philippines: An Optimal Control Study 牛群和啮齿动物对血吸虫病在菲律宾美尼特湖稻田-湖泊间传播的影响：优化控制研究

arXiv - QuanBio - Populations and Evolution Pub Date : 2024-08-10 DOI: arxiv-2408.05559

J. P. Arcede, B. Doungsavanhb, L. A. Estaño, J. C. Jumawan, J. H. Jumawan, Y. Mammeri

{"title":"Influence of bovines and rodents in the spread of schistosomiasis across the ricefield-lakescape of Lake Mainit, Philippines: An Optimal Control Study","authors":"J. P. Arcede, B. Doungsavanhb, L. A. Estaño, J. C. Jumawan, J. H. Jumawan, Y. Mammeri","doi":"arxiv-2408.05559","DOIUrl":"https://doi.org/arxiv-2408.05559","url":null,"abstract":"Schistosomiasis remains a persistent challenge in tropical freshwater\u0000ecosystems, necessitating the development of refined control strategies.\u0000Bovines, especially water buffaloes, are commonly used in traditional farming\u0000practices across rural areas of the Philippines. Bovines, however, are the\u0000biggest reservoir hosts for schistosome eggs, which contribute to the active\u0000transmission cycle of schistosomiasis in rice fields. We propose a mathematical\u0000model to analyze schistosomiasis dynamics in rice fields near the Lake Mainit\u0000in the Philippines, an area known for endemic transmission of schistosomiasis,\u0000focusing on human, bovine, and snail populations. Rodents, although considered,\u0000were not directly included in the control strategies. Grounded in field data,\u0000the model, built on a system of nonlinear ordinary differential equations,\u0000enabled us to derive the basic reproduction number and assess various\u0000intervention strategies. The simulation of optimal control scenarios,\u0000incorporating chemotherapy, mollusciciding, and mechanical methods, provides a\u0000comparative analysis of their efficacies. The results indicated that the\u0000integrated control strategies markedly reduced the prevalence of\u0000schistosomiasis. This study provides insights into optimal control strategies\u0000that are vital for policymakers to design effective, sustainable\u0000schistosomiasis control programs, underscored by the necessity to include\u0000bovine populations in treatment regimens.","PeriodicalId":501044,"journal":{"name":"arXiv - QuanBio - Populations and Evolution","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142204423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Within-host infection dynamics with master equations and the method of moments: A case study of human papillomavirus in the epithelium 使用主方程和矩量法的宿主内感染动力学：上皮细胞中人类乳头瘤病毒的案例研究

arXiv - QuanBio - Populations and Evolution Pub Date : 2024-08-09 DOI: arxiv-2408.05298

Mariah C. Boudreau, Jamie A. Cohen, Laurent Hébert-Dufresne

{"title":"Within-host infection dynamics with master equations and the method of moments: A case study of human papillomavirus in the epithelium","authors":"Mariah C. Boudreau, Jamie A. Cohen, Laurent Hébert-Dufresne","doi":"arxiv-2408.05298","DOIUrl":"https://doi.org/arxiv-2408.05298","url":null,"abstract":"Master equations provide researchers with the ability to track the\u0000distribution over possible states of a system. From these equations, we can\u0000summarize the temporal dynamics through a method of moments. These\u0000distributions and their moments capture the stochastic nature of a system,\u0000which is essential to study infectious diseases. In this paper, we define the\u0000states of the system to be the number of infected cells of a given type in the\u0000epithelium, the hollow organ tissue in the human body. Epithelium found in the\u0000cervix provides a location for viral infections to live and persist, such as\u0000human papillomavirus (HPV). HPV is a highly transmissible disease which most\u0000commonly affects biological females and has the potential to progress into\u0000cervical cancer. By defining a master equation model which tracks the infected\u0000cell layer dynamics, information on disease extinction, progression, and viral\u0000output can be derived from the method of moments. From this methodology and the\u0000outcomes we glean from it, we aim to inform differing states of HPV infected\u0000cells, and assess the effects of structural information for each outcome.","PeriodicalId":501044,"journal":{"name":"arXiv - QuanBio - Populations and Evolution","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142204422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0