In‐silico identification of frequently mutated genes and their co‐enriched metabolic pathways associated with Prostate cancer progression
Author:
Affiliation:
1. School of Engineering Ajeenkya DY Patil University (ADYPU) Pune India
Publisher
Wiley
Subject
Urology,Endocrinology,General Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/and.14236
Reference51 articles.
1. In silico learning of tumor evolution through mutational time series
2. In silico identification of key genes and signaling pathways targeted by a panel of signature microRNAs in prostate cancer
3. The Cancer Genome Atlas Pan-Cancer analysis project
4. Germline Mutations in ATM and BRCA1/2 Are Associated with Grade Reclassification in Men on Active Surveillance for Prostate Cancer
5. UALCAN: A Portal for Facilitating Tumor Subgroup Gene Expression and Survival Analyses
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