Inductive matrix completion for predicting gene–disease associations
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[1] C. Carter. Mendelian Inheritance in Man , 1967 .
[2] J. Rashbass. Online Mendelian Inheritance in Man. , 1995, Trends in genetics : TIG.
[3] D. Valle,et al. Online Mendelian Inheritance In Man (OMIM) , 2000, Human mutation.
[4] A. F. Scott,et al. OMIM: Online Mendelian Inheritance in Man , 2002 .
[5] Kara Dolinski,et al. Saccharomyces Genome Database (SGD) provides secondary gene annotation using the Gene Ontology (GO) , 2002, Nucleic Acids Res..
[6] S. Amladi,et al. Online Mendelian Inheritance in Man 'OMIM'. , 2003, Indian journal of dermatology, venereology and leprology.
[7] David J. Porteous,et al. Speeding disease gene discovery by sequence based candidate prioritization , 2005, BMC Bioinformatics.
[8] N. Campbell. Genetic association database , 2004, Nature Reviews Genetics.
[9] G. Bell,et al. GEISHA, a whole‐mount in situ hybridization gene expression screen in chicken embryos , 2004, Developmental dynamics : an official publication of the American Association of Anatomists.
[10] C. Ouzounis,et al. Genome-wide identification of genes likely to be involved in human genetic disease. , 2004, Nucleic acids research.
[11] Shinichi Morishita,et al. SCMD: Saccharomyces cerevisiae Morphological Database , 2004, Nucleic Acids Res..
[12] Kimberly Van Auken,et al. WormBase: a comprehensive data resource for Caenorhabditis biology and genomics , 2004, Nucleic Acids Res..
[13] Yongjin Li,et al. Discovering disease-genes by topological features in human protein-protein interaction network , 2006, Bioinform..
[14] G. Vriend,et al. A text-mining analysis of the human phenome , 2006, European Journal of Human Genetics.
[15] Monte Westerfield,et al. The Zebrafish Information Network: the zebrafish model organism database , 2005, Nucleic Acids Res..
[16] James Bennett,et al. The Netflix Prize , 2007 .
[17] Judith A. Blake,et al. The mouse genome database (MGD): new features facilitating a model system , 2006, Nucleic Acids Res..
[18] Kriston L. McGary,et al. Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes , 2007, Genome Biology.
[19] P. Robinson,et al. Walking the interactome for prioritization of candidate disease genes. , 2008, American journal of human genetics.
[20] Michael Q. Zhang,et al. Network-based global inference of human disease genes , 2008, Molecular systems biology.
[21] Robert P. St.Onge,et al. The Chemical Genomic Portrait of Yeast: Uncovering a Phenotype for All Genes , 2008, Science.
[22] P. Provero,et al. Functional Annotation and Identification of Candidate Disease Genes by Computational Analysis of Normal Tissue Gene Expression Data , 2008, PloS one.
[23] Tanya Z. Berardini,et al. The Arabidopsis Information Resource (TAIR): gene structure and function annotation , 2007, Nucleic Acids Res..
[24] David Osumi-Sutherland,et al. FlyBase: enhancing Drosophila Gene Ontology annotations , 2008, Nucleic Acids Res..
[25] E. Snitkin,et al. Genome-wide prioritization of disease genes and identification of disease-disease associations from an integrated human functional linkage network , 2009, Genome Biology.
[26] Roded Sharan,et al. A Network-Based Method for Predicting Disease-Causing Genes , 2009, J. Comput. Biol..
[27] Jing Chen,et al. ToppGene Suite for gene list enrichment analysis and candidate gene prioritization , 2009, Nucleic Acids Res..
[28] Jagdish Chandra Patra,et al. Genome-wide inferring gene-phenotype relationship by walking on the heterogeneous network , 2010, Bioinform..
[29] A. Barabasi,et al. Network medicine : a network-based approach to human disease , 2010 .
[30] Roded Sharan,et al. Associating Genes and Protein Complexes with Disease via Network Propagation , 2010, PLoS Comput. Biol..
[31] Jean-Philippe Vert,et al. ProDiGe: Prioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples , 2011, BMC Bioinformatics.
[32] N. Krogan,et al. Phenotypic Landscape of a Bacterial Cell , 2011, Cell.
[33] F. Piano,et al. A High-Resolution C. elegans Essential Gene Network Based on Phenotypic Profiling of a Complex Tissue , 2011, Cell.
[34] E. Marcotte,et al. Prioritizing candidate disease genes by network-based boosting of genome-wide association data. , 2011, Genome research.
[35] R. Piro,et al. Computational approaches to disease‐gene prediction: rationale, classification and successes , 2012, The FEBS journal.
[36] Y. Moreau,et al. Computational tools for prioritizing candidate genes: boosting disease gene discovery , 2012, Nature Reviews Genetics.
[37] Bart De Moor,et al. An unbiased evaluation of gene prioritization tools , 2012, Bioinform..
[38] Nagarajan Natarajan,et al. Learning with Noisy Labels , 2013, NIPS.
[39] Jaime G. Carbonell,et al. Multitask learning for host–pathogen protein interactions , 2013, Bioinform..
[40] Inderjit S. Dhillon,et al. Provable Inductive Matrix Completion , 2013, ArXiv.
[41] John O. Woods,et al. Prediction and Validation of Gene-Disease Associations Using Methods Inspired by Social Network Analyses , 2013, PloS one.
[42] Inderjit S. Dhillon,et al. Large-scale Multi-label Learning with Missing Labels , 2013, ICML.