| Year | Citation | Score | |||
|---|---|---|---|---|---|
| 2024 | Cahill JA, Smith LA, Gottipati S, Torabi TS, Graim K. Bringing the Genomic Revolution to Comparative Oncology: Human and Dog Cancers. Annual Review of Biomedical Data Science. PMID 38648188 DOI: 10.1146/annurev-biodatasci-102423-111936 | 0.51 | |||
| 2024 | Rando HM, Graim K, Hampikian G, Greene CS. Many direct-to-consumer canine genetic tests can identify the breed of purebred dogs. Journal of the American Veterinary Medical Association. 1-8. PMID 38417257 DOI: 10.2460/javma.23.07.0372 | 0.455 | |||
| 2024 | Greenberg ZF, Ali S, Schmittgen TD, Han S, Hughes SJ, Graim KS, He M. Peptide-based capture-and-release purification of extracellular vesicles and statistical algorithm enabled quality assessment. Biorxiv : the Preprint Server For Biology. PMID 38370748 DOI: 10.1101/2024.02.06.578050 | 0.701 | |||
| 2023 | Graim K, Smith L, Cahill J. Equitable machine learning counteracts ancestral bias in precision medicine, improving outcomes for all. Research Square. PMID 37546907 DOI: 10.21203/rs.3.rs-3168446/v1 | 0.615 | |||
| 2023 | Greenberg ZF, Graim KS, He M. Towards artificial intelligence-enabled extracellular vesicle precision drug delivery. Advanced Drug Delivery Reviews. 199: 114974. PMID 37356623 DOI: 10.1016/j.addr.2023.114974 | 0.679 | |||
| 2020 | Graim K, Gorenshteyn D, Robinson DG, Carriero NJ, Cahill JA, Chakrabarti R, Goldschmidt MH, Durham AC, Funk J, Storey J, Kristensen VN, Theesfeld CL, Sorenmo KU, Troyanskaya OG. Modeling molecular development of breast cancer in canine mammary tumors. Genome Research. PMID 33361113 DOI: 10.1101/gr.256388.119 | 0.619 | |||
| 2019 | Graim K, Friedl V, Houlahan KE, Stuart JM. PLATYPUS: A Multiple-View Learning Predictive Framework for Cancer Drug Sensitivity Prediction. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 24: 136-147. PMID 30864317 | 0.549 | |||
| 2018 | Hmeljak J, Sanchez-Vega F, Hoadley KA, Shih J, Stewart C, Heiman DI, Tarpey P, Danilova L, Drill E, Gibb EA, Bowlby R, Kanchi R, Osmanbeyoglu HU, Sekido Y, Takeshita J, ... ... Graim K, et al. Integrative Molecular Characterization of Malignant Pleural Mesothelioma. Cancer Discovery. PMID 30322867 DOI: 10.1158/2159-8290.Cd-18-0804 | 0.302 | |||
| 2017 | Carlin DE, Paull EO, Graim K, Wong CK, Bivol A, Ryabinin P, Ellrott K, Sokolov A, Stuart JM. Prophetic Granger Causality to infer gene regulatory networks. Plos One. 12: e0170340. PMID 29211761 DOI: 10.1371/Journal.Pone.0170340 | 0.505 | |||
| 2017 | Newton Y, Novak AM, Swatloski T, McColl DC, Chopra S, Graim K, Weinstein AS, Baertsch R, Salama SR, Ellrott K, Chopra M, Goldstein TC, Haussler D, Morozova O, Stuart JM. TumorMap: Exploring the Molecular Similarities of Cancer Samples in an Interactive Portal. Cancer Research. 77: e111-e114. PMID 29092953 DOI: 10.1158/0008-5472.Can-17-0580 | 0.54 | |||
| 2017 | Gönen M, Weir BA, Cowley GS, Vazquez F, Guan Y, Jaiswal A, Karasuyama M, Uzunangelov V, Wang T, Tsherniak A, Howell S, Marbach D, Hoff B, Norman TC, Airola A, ... ... Graim K, et al. A Community Challenge for Inferring Genetic Predictors of Gene Essentialities through Analysis of a Functional Screen of Cancer Cell Lines. Cell Systems. PMID 28988802 DOI: 10.1016/J.Cels.2017.09.004 | 0.607 | |||
| 2017 | Graim K, Liu TT, Achrol AS, Paull EO, Newton Y, Chang SD, Harsh GR, Cordero SP, Rubin DL, Stuart JM. Revealing cancer subtypes with higher-order correlations applied to imaging and omics data. Bmc Medical Genomics. 10: 20. PMID 28359308 DOI: 10.1186/S12920-017-0256-3 | 0.503 | |||
| 2016 | Hill SM, Heiser LM, Cokelaer T, Unger M, Nesser NK, Carlin DE, Zhang Y, Sokolov A, Paull EO, Wong CK, Graim K, Bivol A, Wang H, Zhu F, Afsari B, et al. Inferring causal molecular networks: empirical assessment through a community-based effort. Nature Methods. PMID 26901648 DOI: 10.1038/Nmeth.3773 | 0.583 | |||
| 2015 | Smith BA, Sokolov A, Uzunangelov V, Baertsch R, Newton Y, Graim K, Mathis C, Cheng D, Stuart JM, Witte ON. A basal stem cell signature identifies aggressive prostate cancer phenotypes. Proceedings of the National Academy of Sciences of the United States of America. PMID 26460041 DOI: 10.1073/Pnas.1518007112 | 0.472 | |||
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