Journal of computer science and systems biology最新文献

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Editorial Note on Computer Science Attitudes Instrument 关于计算机科学态度仪器的编辑说明
Journal of computer science and systems biology Pub Date : 2020-01-01 DOI: 10.37421/0974-7230.2020.13.324
C. Mounica
{"title":"Editorial Note on Computer Science Attitudes Instrument","authors":"C. Mounica","doi":"10.37421/0974-7230.2020.13.324","DOIUrl":"https://doi.org/10.37421/0974-7230.2020.13.324","url":null,"abstract":"Ramalingam and Wiedenbeck made and approved the PC Programming Self-Efficacy Scale in 1998. Their objective was to make and approve an instrument that analyzed understudies' self-viability and certainty about their own capacity to figure out how to program.","PeriodicalId":88542,"journal":{"name":"Journal of computer science and systems biology","volume":"33 1","pages":"1-1"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89497004","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
Artificial Intelligence Accurately Detects Lung Cancer in Scans 人工智能在扫描中准确检测肺癌
Journal of computer science and systems biology Pub Date : 2020-01-01 DOI: 10.37421/0974-7230.2020.13.327
C. Mounica
{"title":"Artificial Intelligence Accurately Detects Lung Cancer in Scans","authors":"C. Mounica","doi":"10.37421/0974-7230.2020.13.327","DOIUrl":"https://doi.org/10.37421/0974-7230.2020.13.327","url":null,"abstract":"An artificial intelligence program called a neural organization surpasses radiologists' capacity to recognize malignancies; however all the more testing is required prior to utilizing the program clinically. A collaboration between programming engineers and clinical specialists has delivered a man-made reasoning system that utilizations pictures to anticipate with 94 percent precision which individuals will create cellular breakdown in the lungs. The gathering's examination, distributed yesterday (May 20) in Nature Medicine, discovered that the calculation was as precise as radiologists in screening for disease dependent on more than one computed tomography (CT) filter from a similar individual, and beat the specialists when it approached only one sweep from a person.","PeriodicalId":88542,"journal":{"name":"Journal of computer science and systems biology","volume":"55 1","pages":"1-1"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79027007","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
The Helpful Advancement for COVID-19 COVID-19的有益进展
Journal of computer science and systems biology Pub Date : 2020-01-01 DOI: 10.37421/0974-7230.2020.13.316
C. Mounica
{"title":"The Helpful Advancement for COVID-19","authors":"C. Mounica","doi":"10.37421/0974-7230.2020.13.316","DOIUrl":"https://doi.org/10.37421/0974-7230.2020.13.316","url":null,"abstract":"The importance of computer science has been increasing in the era of industrial advancement. It is also one of the critical issues to consider the chemical compounds and nano-particle chemistry. The current coronavirus disease 2019 (COVID-19) situation in all over the world has facilitated the development of anti-viral drugs.","PeriodicalId":88542,"journal":{"name":"Journal of computer science and systems biology","volume":"16 1","pages":"1-1"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74522049","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
Artificial Intelligence (AI) Based on Eccentricities 基于怪癖的人工智能(AI
Journal of computer science and systems biology Pub Date : 2020-01-01 DOI: 10.37421/jcsb.2020.13.309
S. Esteva, A. Figueras, Josep Llluís De la Rosa
{"title":"Artificial Intelligence (AI) Based on Eccentricities","authors":"S. Esteva, A. Figueras, Josep Llluís De la Rosa","doi":"10.37421/jcsb.2020.13.309","DOIUrl":"https://doi.org/10.37421/jcsb.2020.13.309","url":null,"abstract":"Into the highest level of invention or discovery, we find that many of humanity's advances have been achieved by eccentricities of its author, where he has tried to imagine or create something different from what can be generated by deduction, imitation or reasoning, which they are already elaborate forms of intelligence. In this work is proposed to join one last layer after the abstracting information of the data of the process, and the first level of the intelligence, like NN, any classification methods, reasoning etc., a new layer of the analysis of this information to search some matching with the eccentricities proposed, this can produce one result that can be seen as a great level of intelligence if this is according to the hypothesis. The premises and viability are also analyzed to be viable the proposed hypothesis.","PeriodicalId":88542,"journal":{"name":"Journal of computer science and systems biology","volume":"665 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86726066","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: 1
Editorial Note on Trend of Cloud Computing 云计算趋势编者按
Journal of computer science and systems biology Pub Date : 2020-01-01 DOI: 10.37421/0974-7230.2020.13.320
C. Mounica
{"title":"Editorial Note on Trend of Cloud Computing","authors":"C. Mounica","doi":"10.37421/0974-7230.2020.13.320","DOIUrl":"https://doi.org/10.37421/0974-7230.2020.13.320","url":null,"abstract":"Cloud Computing has recently been recognized as one of the most emerging technology. A considerable amount of research has been carried out to explore different areas in Cloud Computing. Few areas including reliability, security and business value of Cloud Computing are yet to be explored.","PeriodicalId":88542,"journal":{"name":"Journal of computer science and systems biology","volume":"311 1","pages":"1-1"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82924976","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
Remarkable Discoveries and Scientific Breakthroughs in the Fields of Computer Science and Systems Biology 计算机科学和系统生物学领域的重大发现和科学突破
Journal of computer science and systems biology Pub Date : 2020-01-01 DOI: 10.37421/0974-7230.2020.13.313
A. Gad
{"title":"Remarkable Discoveries and Scientific Breakthroughs in the Fields of Computer Science and Systems Biology","authors":"A. Gad","doi":"10.37421/0974-7230.2020.13.313","DOIUrl":"https://doi.org/10.37421/0974-7230.2020.13.313","url":null,"abstract":"In recent years the advancements in Computer Science and Systems Biology are facing a growing interest in multifaceted fields, such as Genetic Algorithm, Computer Applications, Robotics, Artificial Intelligence, Bioinformatics, Biostatistics, Cloud Computation, Computational Sciences, Data Mining, Machine Learning, Mathematical Modeling, Cryptography, Neural Network, Human Brain Interface, Wireless Engineering, Cybernetics, and Security, especially within the last decade of research","PeriodicalId":88542,"journal":{"name":"Journal of computer science and systems biology","volume":"38 1","pages":"1-1"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72975810","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
How to Use a Journal’s Aims and Scope to Find the Right Fit for Your Research 如何利用期刊的目标和范围来找到适合你研究的期刊
Journal of computer science and systems biology Pub Date : 2020-01-01 DOI: 10.37421/0974-7230.2020.13.312
Velujith Vala
{"title":"How to Use a Journal’s Aims and Scope to Find the Right Fit for Your Research","authors":"Velujith Vala","doi":"10.37421/0974-7230.2020.13.312","DOIUrl":"https://doi.org/10.37421/0974-7230.2020.13.312","url":null,"abstract":"When choosing a journal to submit your article to, it’s important to make sure it’s the right fit. To help with this, every journal on Computer Science and Systems Biology Online has an aims and scope statement. This is a powerful resource that you can use to choose the best journal for your research.","PeriodicalId":88542,"journal":{"name":"Journal of computer science and systems biology","volume":"10 1","pages":"1-1"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79336471","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
Editorial Note on Robotics 关于机器人技术的社论
Journal of computer science and systems biology Pub Date : 2020-01-01 DOI: 10.37421/0974-7230.2020.13.318
C. Mounica
{"title":"Editorial Note on Robotics","authors":"C. Mounica","doi":"10.37421/0974-7230.2020.13.318","DOIUrl":"https://doi.org/10.37421/0974-7230.2020.13.318","url":null,"abstract":"Social Robotics is the investigation of robots that can cooperate and impart among themselves, with people, and with the earth, inside the social and social structure joined to its job.","PeriodicalId":88542,"journal":{"name":"Journal of computer science and systems biology","volume":"16 1","pages":"1-1"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81827685","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
Editorial on Data Science 数据科学社论
Journal of computer science and systems biology Pub Date : 2020-01-01 DOI: 10.37421/0974-7230.2020.13.322
C. Mounica
{"title":"Editorial on Data Science","authors":"C. Mounica","doi":"10.37421/0974-7230.2020.13.322","DOIUrl":"https://doi.org/10.37421/0974-7230.2020.13.322","url":null,"abstract":"We accept that a few parts of information science and business examination have been around for a long time, but there are critical new inquiries and openings made by the accessibility of huge information and significant progressions in machine knowledge.","PeriodicalId":88542,"journal":{"name":"Journal of computer science and systems biology","volume":"139 1","pages":"1-1"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79947525","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 Novel Method for the Integration of Stochastic Petri Net Simulation and Transcriptomic Data Applied to a Metabolic Pathway 一种整合随机Petri网模拟和转录组学数据的新方法应用于代谢途径
Journal of computer science and systems biology Pub Date : 2019-01-01 DOI: 10.4172/JCSB.1000293
Carvalho Lm, Meirelles Gv, P. Gag, Carazzolle Mf
{"title":"A Novel Method for the Integration of Stochastic Petri Net Simulation and Transcriptomic Data Applied to a Metabolic Pathway","authors":"Carvalho Lm, Meirelles Gv, P. Gag, Carazzolle Mf","doi":"10.4172/JCSB.1000293","DOIUrl":"https://doi.org/10.4172/JCSB.1000293","url":null,"abstract":"Over the years, methods capable of integrating data from omics, such as transcriptomics, proteomics and metabolomics have emerged in Systems Biology, principally the use of networks to integrate omics information. In particular, the role of each biological pathway aims to understand the intermolecular interactions. While there are theoretical and experimental strategies to investigate biological pathways involved in cellular metabolism, computational modeling methods allow for a better understanding of them. Here we propose a new method to connect transcriptomic data with simulation approach using stochastic Petri Net (PN) metabolic networks. This new approach was developed based on well-studied theoretical gene expression modeling while trying to assimilate dynamic ordinary systems to a stochastic model function. The developed method was used to perform stochastic PN simulations of ethanol fermentation by Saccharomyces cerevisiae considering glucose and xylose as carbon sources. Lastly, we developed the PeNTIOS software, which is capable of converting Saccharomyces cerevisiae metabolic pathways and transcriptomic data into SBML format. The generated files can be readily imported into PN simulation programs. Our results show that the reconstruction of stochastic PN systems with transcriptomics data is a promising method that can generate new insights about biological experiments, as shown through our case study with the xylose-fermenting yeast. A Novel Method for the Integration of Stochastic Petri Net Simulation and Transcriptomic Data Applied to a Metabolic Pathway","PeriodicalId":88542,"journal":{"name":"Journal of computer science and systems biology","volume":"162 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86187717","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
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