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Rajeev K. Azad
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2020 – today
- 2024
- [j9]Steven Gore, Bailey Meche, Danyang Shao, Benjamin Ginnett, Kelly Zhou, Rajeev K. Azad:
DiseaseNet: a transfer learning approach to noncommunicable disease classification. BMC Bioinform. 25(1): 107 (2024) - 2022
- [j8]Steven Gore
, Rajeev K. Azad:
CancerNet: a unified deep learning network for pan-cancer diagnostics. BMC Bioinform. 23(1): 229 (2022) - 2021
- [j7]Nabil Ibtehaz
SSG-LUGIA: Single Sequence based Genome Level Unsupervised Genomic Island Prediction Algorithm. Briefings Bioinform. 22(6) (2021) - [j6]Janak Sunuwar, Rajeev K. Azad:
A machine learning framework to predict antibiotic resistance traits and yet unknown genes underlying resistance to specific antibiotics in bacterial strains. Briefings Bioinform. 22(6) (2021) - 2020
- [j5]David J. Burks
Higher-order Markov models for metagenomic sequence classification. Bioinform. 36(14): 4130-4136 (2020)
2010 – 2019
- 2019
- [j4]Rajeev K. Azad, Vladimir Shulaev:
Metabolomics technology and bioinformatics for precision medicine. Briefings Bioinform. 20(6): 1957-1971 (2019)
2000 – 2009
- 2005
- [j3]Rajeev K. Azad, Jeffrey G. Lawrence:
Use of Artificial Genomes in Assessing Methods for Atypical Gene Detection. PLoS Comput. Biol. 1(6) (2005) - 2004
- [j2]Rajeev K. Azad, Mark Borodovsky:
Probabilistic methods of identifying genes in prokaryotic genomes: Connections to the HMM theory. Briefings Bioinform. 5(2): 118-130 (2004) - [j1]Rajeev K. Azad, Mark Borodovsky:
Effects of choice of DNA sequence model structure on gene identification accuracy. Bioinform. 20(7): 993-1005 (2004)
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