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Sequence neighborhoods enable reliable prediction of pathogenic mutations in cancer genomes
View ORCID ProfileShayantan Banerjee, View ORCID ProfileKarthik Raman, View ORCID ProfileBalaraman Ravindran
doi: https://doi.org/10.1101/2021.02.09.430460
Shayantan Banerjee
1Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI), Indian Institute of Technology (IIT) Madras, Chennai - 600 036
2Initiative for Biological Systems Engineering, IIT Madras, Chennai - 600 036
3Bhupat and Jyoti Mehta School of Biosciences, Department of Biotechnology, IIT Madras, Chennai - 600 036
Karthik Raman
1Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI), Indian Institute of Technology (IIT) Madras, Chennai - 600 036
2Initiative for Biological Systems Engineering, IIT Madras, Chennai - 600 036
3Bhupat and Jyoti Mehta School of Biosciences, Department of Biotechnology, IIT Madras, Chennai - 600 036
Balaraman Ravindran
1Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI), Indian Institute of Technology (IIT) Madras, Chennai - 600 036
2Initiative for Biological Systems Engineering, IIT Madras, Chennai - 600 036
4Department of Computer Science and Engineering, IIT Madras, Chennai - 600 036
Posted February 11, 2021.
Sequence neighborhoods enable reliable prediction of pathogenic mutations in cancer genomes
Shayantan Banerjee, Karthik Raman, Balaraman Ravindran
bioRxiv 2021.02.09.430460; doi: https://doi.org/10.1101/2021.02.09.430460
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