Int. J. Bioinform. Res. Appl.最新文献_第5页

Vision-based malaria parasite image analysis: a systematic review 基于视觉的疟疾寄生虫图像分析:系统综述

Int. J. Bioinform. Res. Appl. Pub Date : 2019-02-27 DOI: 10.1504/IJBRA.2019.097987

P. Pattanaik, T. Swarnkar

引用次数: 7

Level 2 feature extraction for latent fingerprint enhancement and matching using type-2 intuitionistic fuzzy set 基于2型直觉模糊集的潜在指纹二级特征提取与匹配

Int. J. Bioinform. Res. Appl. Pub Date : 2019-02-27 DOI: 10.1504/IJBRA.2019.097994

Adhiyaman Manickam, D. Ezhilmaran

{"title":"Level 2 feature extraction for latent fingerprint enhancement and matching using type-2 intuitionistic fuzzy set","authors":"Adhiyaman Manickam, D. Ezhilmaran","doi":"10.1504/IJBRA.2019.097994","DOIUrl":"https://doi.org/10.1504/IJBRA.2019.097994","url":null,"abstract":"Latent fingerprints are acquired from crime places which are utilised to distinguish suspects in crime inspection. In general, latent fingerprints contain mysterious ridge and valley structure with nonlinear distortion and complex background noise. These lead to fundamentally difficult problem for further analysis. Hence, the image quality is required for matching those latent fingerprints. In this work, we develop a model, which needs manually marked region of interest latent fingerprints for enhancement and matching. The proposed model includes two phases: i) latent fingerprints contrast enhancement using intuitionistic fuzzy set; ii) extract the level 2 feature (minutiae) from the latent fingerprint image. This technique is functioned depend on minutia points which investigate n number of images and the Euclidean distance is applied for calculate the matching scores. We tested our algorithm for matching, using some public domain fingerprint databases such as fingerprint verification competition-2004 and Indraprastha Institute of Information Technology-latent fingerprint, which indicates that by fusing the proposed enhancement algorithm, the matching precision has fundamentally, moved forward.","PeriodicalId":434900,"journal":{"name":"Int. J. Bioinform. Res. Appl.","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128597567","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: 13

Dynamic background modelling using multi-swarm optimisation 基于多群优化的动态背景建模

Int. J. Bioinform. Res. Appl. Pub Date : 2019-02-27 DOI: 10.1504/IJBRA.2019.098018

M. Sivagami, T. Revathi, L. Jeganathan

引用次数: 0

Bioinformatic analysis of envelope gene of the dengue type 3 prevalent in India from 2005 onwards and comparison with dengue type 1 2005年以来印度流行的3型登革热包膜基因的生物信息学分析及与1型登革热的比较

Int. J. Bioinform. Res. Appl. Pub Date : 2018-10-01 DOI: 10.1504/IJBRA.2018.10009964

S. Dey, A. Nandy, P. Nandy, Sukhen Das

引用次数: 1

An improved method to enhance protein structural class prediction using their secondary structure sequences and genetic algorithm 一种利用蛋白质二级结构序列和遗传算法增强蛋白质结构分类预测的改进方法

Int. J. Bioinform. Res. Appl. Pub Date : 2018-10-01 DOI: 10.1504/IJBRA.2018.10009965

M. H. Aldulaimi, S. Zainudin, A. Bakar

引用次数: 1

Discovery of novel inhibitors targeting movement protein for controlling the transmission of banana bunchy top virus infection in plantain by structure-based virtual screening 基于结构的虚拟筛选技术发现控制香蕉束顶病毒在大蕉中传播的新型运动蛋白抑制剂

Int. J. Bioinform. Res. Appl. Pub Date : 2018-10-01 DOI: 10.1504/IJBRA.2018.10009939

Archana Prabahar, S. Swaminathan, Kalpana Raja, Srividhya Vellingiri, R. Jegadeesan, Bharathi Nathan

引用次数: 0

Computational structural biology and modes of interaction between human annexin A6 with influenza A virus protein M2: a possible mechanism for reducing viral infection 计算结构生物学和人膜联蛋白A6与甲型流感病毒蛋白M2之间的相互作用模式:减少病毒感染的可能机制

Int. J. Bioinform. Res. Appl. Pub Date : 2018-10-01 DOI: 10.1504/IJBRA.2018.10009940

Sujay Ray, A. Banerjee

引用次数: 1

Tertiary and quaternary structure prediction of full-length human p53 by comparative modelling with structural environment-based alignment method 基于结构环境比对方法的人类p53全基因组三级和四级结构预测

Int. J. Bioinform. Res. Appl. Pub Date : 2018-10-01 DOI: 10.1504/IJBRA.2018.10009962

Vaijayanthi Raghavan, M. Agrahari, Dhananjaya Kale Gowda

{"title":"Tertiary and quaternary structure prediction of full-length human p53 by comparative modelling with structural environment-based alignment method","authors":"Vaijayanthi Raghavan, M. Agrahari, Dhananjaya Kale Gowda","doi":"10.1504/IJBRA.2018.10009962","DOIUrl":"https://doi.org/10.1504/IJBRA.2018.10009962","url":null,"abstract":"One of the fundamental components for a wide range of proteomics research is to determine the 3D structure and properties of proteins. Access to precise and accurate protein models becomes very essential to predict the drug binding region or optimising the stability and selectivity of biologics. Due to biological and technical challenges of p53, the full-length 3D structure is unavailable for the scientific community; thus, there is a need to develop the 3D structure of p53, which is a key player in preventing cancer. Here, we model all the 393 amino acids to generate full-length 3D models of human p53 in both monomeric and tetrameric forms using computational approaches. The 3D model building involved homology-based modelling techniques combined with a refinement approach and use of structural environment-based alignment method for developing quaternary structure of human p53. Our results showed that 3D models are more reliable when iterative modelling was used and structural environment-based alignment method is well-suited to model the tetramer. These structures can be utilised to develop p53 mutants, virtual screening, design/develop small molecules or target-drug interaction studies.","PeriodicalId":434900,"journal":{"name":"Int. J. Bioinform. Res. Appl.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121674270","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

Sample-to-sample p-value variability and its implications for multivariate analysis 样本间p值变异性及其对多变量分析的影响

Int. J. Bioinform. Res. Appl. Pub Date : 2018-06-30 DOI: 10.1504/IJBRA.2018.10009566

Wei Wang, W. Goh

{"title":"Sample-to-sample p-value variability and its implications for multivariate analysis","authors":"Wei Wang, W. Goh","doi":"10.1504/IJBRA.2018.10009566","DOIUrl":"https://doi.org/10.1504/IJBRA.2018.10009566","url":null,"abstract":"Statistical feature selection is used for identification of relevant genes from biological data, with implications for biomarker and drug development. Recent work demonstrates that the t-test p-value exhibits high sample-to-sample p-value variability accompanied by an exaggeration of effect size in the univariate scenario. To deepen understanding, we further examined p-value and effect size variability issues across a variety of alternative scenarios. We find that with increased sampling sizes, there is convergence towards true effect size. Moreover, with greater power (stronger effect size or sampling size), p-value variability does not quite converge, suggesting that p-values are a terrible indicator of estimated effect sizes. The t-test is resilient, and surprisingly effective even in test scenarios where its non-parametric counterpart, the Wilcoxon rank-sum test is expected to better. Since p-values are variable and poorly predict effect size, ranking individual gene or protein features based on p-values is a terrible idea, and we demonstrate that restriction of the top 500 features (ranked based on p-values) in real protein expression data comprising 12 normal and 12 renal cancer patients worsens instability. The use of stability indicators such as the bootstrap, estimated effect size and confidence intervals alongside the p-value is required to make meaningful and statistically valid interpretations.","PeriodicalId":434900,"journal":{"name":"Int. J. Bioinform. Res. Appl.","volume":"11 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113955788","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

Potential of photoplethysmogram for the detection of calcification and stenosis in lower limb 光容积图检测下肢钙化和狭窄的潜力

Int. J. Bioinform. Res. Appl. Pub Date : 2018-06-30 DOI: 10.1504/IJBRA.2018.10009583

Neelamshobha Nirala, R. Periyasamy, Awanish Kumar

引用次数: 1