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Nasimian A, Al Ashiri L, Ahmed M, Duan H, Zhang X, Rönnstrand L, Kazi JU. A Receptor Tyrosine Kinase Inhibitor Sensitivity Prediction Model Identifies AXL Dependency in Leukemia. Int J Mol Sci 2023;24. [PMID: 36835239 DOI: 10.3390/ijms24043830] [Reference Citation Analysis]
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Ferrero Restelli F, Federicci F, Ledda F, Paratcha G. Sprouty4 at the crossroads of Trk neurotrophin receptor signaling suppression by glucocorticoids. Front Mol Neurosci 2023;16:1090824. [PMID: 36818650 DOI: 10.3389/fnmol.2023.1090824] [Reference Citation Analysis]
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Nasimian A, Ahmed M, Hedenfalk I, Kazi JU. A deep tabular data learning model predicting cisplatin sensitivity identifies BCL2L1 dependency in cancer. Comput Struct Biotechnol J 2023;21:956-64. [PMID: 36733702 DOI: 10.1016/j.csbj.2023.01.020] [Reference Citation Analysis]
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Oku Y, Madia F, Lau P, Paparella M, McGovern T, Luijten M, Jacobs MN. Analyses of Transcriptomics Cell Signalling for Pre-Screening Applications in the Integrated Approach for Testing and Assessment of Non-Genotoxic Carcinogens. Int J Mol Sci 2022;23. [PMID: 36361516 DOI: 10.3390/ijms232112718] [Reference Citation Analysis]
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Salvucci M, Crawford N, Stott K, Bullman S, Longley DB, Prehn JHM. Patients with mesenchymal tumours and high Fusobacteriales prevalence have worse prognosis in colorectal cancer (CRC). Gut 2022;71:1600-12. [PMID: 34497144 DOI: 10.1136/gutjnl-2021-325193] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 14.0] [Reference Citation Analysis]
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Zheng S, Wang W, Aldahdooh J, Malyutina A, Shadbahr T, Tanoli Z, Pessia A, Tang J. SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasets. Genomics Proteomics Bioinformatics 2022;20:587-96. [PMID: 35085776 DOI: 10.1016/j.gpb.2022.01.004] [Cited by in Crossref: 32] [Cited by in F6Publishing: 29] [Article Influence: 32.0] [Reference Citation Analysis]
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| 7 |
Shah K, Kazi JU. Phosphorylation-Dependent Regulation of WNT/Beta-Catenin Signaling. Front Oncol 2022;12:858782. [DOI: 10.3389/fonc.2022.858782] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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| 8 |
Feizi N, Nair SK, Smirnov P, Beri G, Eeles C, Esfahani PN, Nakano M, Tkachuk D, Mammoliti A, Gorobets E, Mer AS, Lin E, Yu Y, Martin S, Hafner M, Haibe-Kains B. PharmacoDB 2.0: improving scalability and transparency of in vitro pharmacogenomics analysis. Nucleic Acids Res 2021:gkab1084. [PMID: 34850112 DOI: 10.1093/nar/gkab1084] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
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| 9 |
Zheng S, Aldahdooh J, Shadbahr T, Wang Y, Aldahdooh D, Bao J, Wang W, Tang J. DrugComb update: a more comprehensive drug sensitivity data repository and analysis portal. Nucleic Acids Res 2021;49:W174-84. [PMID: 34060634 DOI: 10.1093/nar/gkab438] [Cited by in Crossref: 18] [Cited by in F6Publishing: 20] [Article Influence: 9.0] [Reference Citation Analysis]
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| 10 |
Rafique R, Islam SMR, Kazi JU. Machine learning in the prediction of cancer therapy. Comput Struct Biotechnol J 2021;19:4003-17. [PMID: 34377366 DOI: 10.1016/j.csbj.2021.07.003] [Cited by in Crossref: 8] [Cited by in F6Publishing: 10] [Article Influence: 4.0] [Reference Citation Analysis]
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| 11 |
Zheng S, Wang W, Aldahdooh J, Malyutina A, Shadbahr T, Tanoli Z, Pessia A, Tang J. SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasets.. [DOI: 10.1101/2021.06.01.446564] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
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| 12 |
Salvucci M, Crawford N, Stott K, Bullman S, Longley DB, Prehn JH. Patients with mesenchymal tumours and high Fusobacteriales prevalence have worse prognosis in colorectal cancer (CRC).. [DOI: 10.1101/2021.05.17.444326] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
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