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BMC Bioinformatics|June 13, 2022
CancerNet: a unified deep learning network for pan-cancer diagnosticsSteven Gore, Rajeev K AzadBMC Bioinformatics|March 12, 2024
DiseaseNet: a transfer learning approach to noncommunicable disease classificationSteven Gore, Bailey Meche, Danyang Shao, et al.Scientific Reports|July 2, 2025
RareNet: a deep learning model for rare cancer diagnosisDanyang Shao, Sohan Addagudi, Joseph Cowles, et al.Archives of Microbiology|March 1, 2021
Discovery of mosaic genomic islands in Pseudomonas sppMehul Jani, Rajeev K AzadBioinformatics (Oxford, England)|January 31, 2004
Effects of choice of DNA sequence model structure on gene identification accuracyRajeev K Azad, Mark BorodovskyBriefings in Bioinformatics|January 6, 2018
Metabolomics technology and bioinformatics for precision medicineRajeev K Azad, Vladimir ShulaevBriefings in Bioinformatics|May 20, 2021
A machine learning framework to predict antibiotic resistance traits and yet unknown genes underlying resistance to specific antibiotics in bacterial strainsJanak Sunuwar, Rajeev K AzadMicrobial Genomics|February 7, 2023
Leveraging comparative genomics to uncover alien genes in bacterial genomesSoham Sengupta, Rajeev K AzadMicroorganisms|November 11, 2022
Identification of Novel Antimicrobial Resistance Genes Using Machine Learning, Homology Modeling, and Molecular DockingJanak Sunuwar, Rajeev K AzadAntibiotics (Basel, Switzerland)|November 24, 2023
Silicon versus Superbug: Assessing Machine Learning's Role in the Fight against Antimicrobial ResistanceTallon Coxe, Rajeev K AzadPageof 12