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A network-based drug prioritization and combination analysis for the MEK5/ERK5 pathway in breast cancer JOURNAL ARTICLE published 21 February 2024 in BioData Mining |
Joint analysis of multiple high-dimensional data types using sparse matrix approximations of rank-1 with applications to ovarian and liver cancer JOURNAL ARTICLE published December 2016 in BioData Mining Research funded by National Cancer Institute (R01CA161209-04,R01CA161209-04) | National Cancer Institute (P30 CA071789,P30 CA071789-12S7) |
ProtNN: fast and accurate protein 3D-structure classification in structural and topological space JOURNAL ARTICLE published December 2016 in BioData Mining |
Prescreening and treatment of aortic dissection through an analysis of infinite-dimension data JOURNAL ARTICLE published December 2021 in BioData Mining Research funded by National Natural Science Foundation of China (81870346, 81701842, 81701801,81700432) | Clinical Research Program of 9th People's Hospital (JYLJ202010) | Shanghai Science and Technology Innovation Action Plan (20Y11909600) | Shanghai Municipal Health Bureau Project (202040434) | Shanghai Jiao Tong University School of Medicine Doctoral Innovation Fund (BXJ201935) |
TSPmap, a tool making use of traveling salesperson problem solvers in the efficient and accurate construction of high-density genetic linkage maps JOURNAL ARTICLE published December 2017 in BioData Mining Research funded by Biological and Environmental Research (SC0012459,DE-FG02-08ER64629) | National Institute of Food and Agriculture (2014-38420-21801) |
New neural network classification method for individuals ancestry prediction from SNPs data JOURNAL ARTICLE published December 2021 in BioData Mining Research funded by H3ABioNet (U41HG006941) |
Iteratively refining breast cancer intrinsic subtypes in the METABRIC dataset JOURNAL ARTICLE published December 2016 in BioData Mining Research funded by Australian Research Council (Future Fellowship FT120100060 - ARC Discovery Project DP120102576) | Cancer Institute of New South Wales (Big Data Big Impact Grant 13/DATA/1–03) |
Detecting gene-gene interactions using a permutation-based random forest method JOURNAL ARTICLE published December 2016 in BioData Mining Research funded by U.S. National Library of Medicine (LM009012,LM010098,LM011360) | National Eye Institute (EY022300) | National Institute of General Medical Sciences (GM103506,GM103534) | National Cancer Institute (CA057494) | National Institute of Environmental Health Sciences (ES0073737) |
Investigating the parameter space of evolutionary algorithms JOURNAL ARTICLE published December 2018 in BioData Mining Research funded by National Institutes of Health (AI116794, DK112217, ES013508, HL134015, LM010098, LM011360, LM012601, and TR001263) |
Within-sample co-methylation patterns in normal tissues JOURNAL ARTICLE published December 2019 in BioData Mining |
Ten important roles for academic leaders in data science JOURNAL ARTICLE published December 2020 in BioData Mining |
Grasping frequent subgraph mining for bioinformatics applications JOURNAL ARTICLE published December 2018 in BioData Mining Research funded by Fonds Wetenschappelijk Onderzoek (Evolving graph patterns) |
The prediction accuracy of dynamic mixed-effects models in clustered data JOURNAL ARTICLE published December 2016 in BioData Mining Research funded by National Heart, Lung, and Blood Institute (5F30HL115992,5R01HL066176) |
An extended data mining method for identifying differentially expressed assay-specific signatures in functional genomic studies JOURNAL ARTICLE published December 2010 in BioData Mining |
Identification of SNPs associated with variola virus virulence JOURNAL ARTICLE published December 2013 in BioData Mining |
Logic minimization and rule extraction for identification of functional sites in molecular sequences JOURNAL ARTICLE published December 2012 in BioData Mining |
Hypothesis exploration with visualization of variance JOURNAL ARTICLE published December 2014 in BioData Mining |
Characterizing human genomic coevolution in locus-gene regulatory interactions JOURNAL ARTICLE published December 2019 in BioData Mining Research funded by U.S. National Library of Medicine (RO1-LM04127) | National Cancer Institute (U01-CA198941) |
An investigation of gene-gene interactions in dose-response studies with Bayesian nonparametrics JOURNAL ARTICLE published June 2015 in BioData Mining |
Machine learning classifiers provide insight into the relationship between microbial communities and bacterial vaginosis JOURNAL ARTICLE published June 2015 in BioData Mining |