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For: Konopka T, Smedley D. Incremental data integration for tracking genotype-disease associations. PLoS Comput Biol 2020;16:e1007586. [PMID: 31986132 DOI: 10.1371/journal.pcbi.1007586] [Cited by in Crossref: 6] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Powell DR, Revelli JP, Doree DD, DaCosta CM, Desai U, Shadoan MK, Rodriguez L, Mullens M, Yang QM, Ding ZM, Kirkpatrick LL, Vogel P, Zambrowicz B, Sands AT, Platt KA, Hansen GM, Brommage R. High-Throughput Screening of Mouse Gene Knockouts Identifies Established and Novel High Body Fat Phenotypes. Diabetes Metab Syndr Obes 2021;14:3753-85. [PMID: 34483672 DOI: 10.2147/DMSO.S322083] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
2 Konopka T, Ng S, Smedley D. Diffusion enables integration of heterogeneous data and user-driven learning in a desktop knowledge-base. PLoS Comput Biol 2021;17:e1009283. [PMID: 34379637 DOI: 10.1371/journal.pcbi.1009283] [Reference Citation Analysis]
3 Tanaka M, Toldi J, Vécsei L. Exploring the Etiological Links behind Neurodegenerative Diseases: Inflammatory Cytokines and Bioactive Kynurenines. Int J Mol Sci 2020;21:E2431. [PMID: 32244523 DOI: 10.3390/ijms21072431] [Cited by in Crossref: 32] [Cited by in F6Publishing: 34] [Article Influence: 16.0] [Reference Citation Analysis]