Heterogeneous networks integration for disease-gene prioritization with node kernels
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Alessandro Sperduti | Rolf Backofen | Dinh Van Tran | Fabrizio Costa | A. Sperduti | R. Backofen | Fabrizio Costa | D. V. Tran
[1] R. Altman,et al. Pharmacogenomics Knowledge for Personalized Medicine , 2012, Clinical pharmacology and therapeutics.
[2] Kenneth H. Buetow,et al. PID: the Pathway Interaction Database , 2008, Nucleic Acids Res..
[3] Sandhya Rani,et al. Human Protein Reference Database—2009 update , 2008, Nucleic Acids Res..
[4] Jean-Philippe Vert,et al. ProDiGe: Prioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples , 2011, BMC Bioinformatics.
[5] Christian von Mering,et al. STRING 8—a global view on proteins and their functional interactions in 630 organisms , 2008, Nucleic Acids Res..
[6] Eric P. Xing,et al. Kernel methods for large-scale genomic data analysis , 2015, Briefings Bioinform..
[7] Fang-Xiang Wu,et al. Identifying disease genes by integrating multiple data sources , 2014, BMC Medical Genomics.
[8] Sunmo Yang,et al. HumanNet v2: human gene networks for disease research , 2018, Nucleic Acids Res..
[9] Rolf Backofen,et al. Freiburg RNA tools: a central online resource for RNA-focused research and teaching , 2018, Nucleic Acids Res..
[10] Fabio Aiolli,et al. EasyMKL: a scalable multiple kernel learning algorithm , 2015, Neurocomputing.
[11] Yingyao Zhou,et al. In Silico Gene Prioritization by Integrating Multiple Data Sources , 2011, PloS one.
[12] Jing Chen,et al. Improved human disease candidate gene prioritization using mouse phenotype , 2007, BMC Bioinformatics.
[13] Fabrizio Costa,et al. Fast Neighborhood Subgraph Pairwise Distance Kernel , 2010, ICML.
[14] Daniel W. A. Buchan,et al. A large-scale evaluation of computational protein function prediction , 2013, Nature Methods.
[15] Alessandro Sperduti,et al. The conjunctive disjunctive graph node kernel for disease gene prioritization , 2018, Neurocomputing.
[16] Fang-Xiang Wu,et al. A fast and high performance multiple data integration algorithm for identifying human disease genes , 2015, BMC Medical Genomics.
[17] Howard L McLeod,et al. CANDID: a flexible method for prioritizing candidate genes for complex human traits , 2008, Genetic epidemiology.
[18] Bart De Moor,et al. An unbiased evaluation of gene prioritization tools , 2012, Bioinform..
[19] Xiaoli Li,et al. Ensemble Positive Unlabeled Learning for Disease Gene Identification , 2014, PloS one.
[20] Hiroyuki Ogata,et al. KEGG: Kyoto Encyclopedia of Genes and Genomes , 1999, Nucleic Acids Res..
[21] Kara Dolinski,et al. The BioGRID interaction database: 2015 update , 2014, Nucleic Acids Res..
[22] A. Barabasi,et al. The human disease network , 2007, Proceedings of the National Academy of Sciences.
[23] Giorgio Valle,et al. Scuba: scalable kernel-based gene prioritization , 2018, BMC Bioinformatics.
[24] Y. Moreau,et al. Computational tools for prioritizing candidate genes: boosting disease gene discovery , 2012, Nature Reviews Genetics.
[25] Alessandro Sperduti,et al. The Conjunctive Disjunctive Node Kernel , 2017, ESANN.
[26] Tetsuro Toyoda,et al. Prioritising Genes with an Artificial Neural Network Comprising Medical Documents to Accelerate Positional Cloning in Biological Research , 2011 .
[27] Bassem A. Hassan,et al. Gene prioritization through genomic data fusion , 2006, Nature Biotechnology.
[28] M. DePamphilis,et al. HUMAN DISEASE , 1957, The Ulster Medical Journal.
[29] P. Robinson,et al. Walking the interactome for prioritization of candidate disease genes. , 2008, American journal of human genetics.
[30] Ethem Alpaydin,et al. Multiple Kernel Learning Algorithms , 2011, J. Mach. Learn. Res..
[31] Chee Keong Kwoh,et al. Positive-unlabeled learning for disease gene identification , 2012, Bioinform..
[32] Jana Marie Schwarz,et al. GeneDistiller—Distilling Candidate Genes from Linkage Intervals , 2008, PloS one.
[33] Jon W. Huss,et al. BioGPS: an extensible and customizable portal for querying and organizing gene annotation resources , 2009, Genome Biology.
[34] Robert Hoehndorf,et al. Semantic Disease Gene Embeddings (SmuDGE): phenotype-based disease gene prioritization without phenotypes , 2018, bioRxiv.
[35] Kenji Suzuki,et al. Artificial Neural Networks - Methodological Advances and Biomedical Applications , 2011 .
[36] David J. Porteous,et al. SUSPECTS : enabling fast and effective prioritization of positional candidates , 2005 .
[37] João Pedro de Magalhães,et al. GeneFriends: a human RNA-seq-based gene and transcript co-expression database , 2014, Nucleic Acids Res..
[38] Bart De Moor,et al. Candidate gene prioritization by network analysis of differential expression using machine learning approaches , 2010, BMC Bioinformatics.
[39] G. Vriend,et al. A text-mining analysis of the human phenome , 2006, European Journal of Human Genetics.