Found: 10
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Identification of dysregulated miRNAs in triple negative breast cancer: A meta‐analysis approach.
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- Journal of Cellular Physiology, 2019, v. 234, n. 7, p. 11768, doi. 10.1002/jcp.27839
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- Article
Computational resources in healthcare.
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- WIREs: Data Mining & Knowledge Discovery, 2022, v. 12, n. 3, p. 1, doi. 10.1002/widm.1437
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- Article
Prognostic biomarkers for predicting papillary thyroid carcinoma patients at high risk using nine genes of apoptotic pathway.
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- PLoS ONE, 2021, v. 16, n. 11, p. 1, doi. 10.1371/journal.pone.0259534
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- Article
A random forest model for predicting exosomal proteins using evolutionary information and motifs.
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- Proteomics, 2024, v. 24, n. 6, p. 1, doi. 10.1002/pmic.202300231
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- Article
Integrated network analysis and machine learning approach for the identification of key genes of triple‐negative breast cancer.
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- Journal of Cellular Biochemistry, 2019, v. 120, n. 4, p. 6154, doi. 10.1002/jcb.27903
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- Article
Integrated network analysis and machine learning approach for the identification of key genes of triple‐negative breast cancer.
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- Journal of Cellular Biochemistry, 2019, v. 120, n. 4, p. 6154, doi. 10.1002/jcb.27903
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- Article
ToxinPred2: an improved method for predicting toxicity of proteins.
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- Briefings in Bioinformatics, 2022, v. 23, n. 5, p. 1, doi. 10.1093/bib/bbac174
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- Article
Homology Modelling, Molecular Dynamics Simulation And Docking Studies Of HSP 105 Of Cystic Fibrosis With The Target Protein HSP 70.
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- Biomirror, 2013, v. 4, n. 12, p. 102
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- Article
Artificial Intelligence Predicts Sensitivity of EGFR Novel Mutations to Tyrosine Kinase Inhibitors.
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- Indian Journal of Medical & Paediatric Oncology, 2024, v. 45, p. S1, doi. 10.1055/s-0044-1788220
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- Article
Comprehensive Genomic Characterization of 1,200 Samples across 25 Cancer Types of Indian Ethnicity.
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- Indian Journal of Medical & Paediatric Oncology, 2024, v. 45, p. S1, doi. 10.1055/s-0044-1788213
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- Article