The Role of Balanced Training and Testing Data Sets for Binary Classifiers in Bioinformatics
出版年份 2013 全文链接
标题
The Role of Balanced Training and Testing Data Sets for Binary Classifiers in Bioinformatics
作者
关键词
-
出版物
PLoS One
Volume 8, Issue 7, Pages e67863
出版商
Public Library of Science (PLoS)
发表日期
2013-07-10
DOI
10.1371/journal.pone.0067863
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Phenotype-optimized sequence ensembles substantially improve prediction of disease-causing mutation in cystic fibrosis
- (2012) David L. Masica et al. HUMAN MUTATION
- SPINE-D: Accurate Prediction of Short and Long Disordered Regions by a Single Neural-Network Based Method
- (2012) Tuo Zhang et al. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
- Cost-Sensitive Learning via Priority Sampling to Improve the Return on Marketing and CRM Investment
- (2012) Geng Cui et al. JOURNAL OF MANAGEMENT INFORMATION SYSTEMS
- ESpritz: accurate and fast prediction of protein disorder
- (2011) Ian Walsh et al. BIOINFORMATICS
- Making sense of cancer genomic data
- (2011) Lynda Chin et al. GENES & DEVELOPMENT
- SDM--a server for predicting effects of mutations on protein stability and malfunction
- (2011) C. L. Worth et al. NUCLEIC ACIDS RESEARCH
- UniProt Knowledgebase: a hub of integrated protein data
- (2011) M. Magrane et al. Database-The Journal of Biological Databases and Curation
- Easy retrieval of single amino-acid polymorphisms and phenotype information using SwissVar
- (2010) Anaïs Mottaz et al. BIOINFORMATICS
- Sequence feature-based prediction of protein stability changes upon amino acid substitutions
- (2010) Shaolei Teng et al. BMC GENOMICS
- A method and server for predicting damaging missense mutations
- (2010) Ivan A Adzhubei et al. NATURE METHODS
- MuD: an interactive web server for the prediction of non-neutral substitutions using protein structural data
- (2010) G. Wainreb et al. NUCLEIC ACIDS RESEARCH
- PreDisorder: ab initio sequence-based prediction of protein disordered regions
- (2009) Xin Deng et al. BMC BIOINFORMATICS
- Functional annotations improve the predictive score of human disease-related mutations in proteins
- (2009) Remo Calabrese et al. HUMAN MUTATION
- Learning from Imbalanced Data
- (2009) Haibo He et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- SNAP predicts effect of mutations on protein function
- (2008) Yana Bromberg et al. BIOINFORMATICS
- A three-state prediction of single point mutations on protein stability changes
- (2008) Emidio Capriotti et al. BMC BIOINFORMATICS
- To be folded or to be unfolded?
- (2004) Sergiy O. Garbuzynskiy et al. PROTEIN SCIENCE
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