Publications

Learning supervised embeddings for large scale sequence comparisons

We developed machine learning supervised approach for protein sequence retrieval and for protein classification in large scale. Our proposed approach provides significantly faster query processing time than commonly used alignment-based algorithms.

Kimothi, Dhananjay and Biyani, Pravesh and Hogan, James M and Soni, Akshay and Kelly, Wayne

journal.pone.0216636

 

Distributed representations for biological sequence analysis
Kimothi, Dhananjay and Soni, Akshay and Biyani, Pravesh and Hogan, James M
arXiv:1608.05949

Learning supervised embeddings for large scale sequence comparisons
Kimothi, Dhananjay and Biyani, Pravesh and Hogan, James M and Soni, Akshay and Kelly, Wayne
journal.pone.0216636

Metric learning on biological sequence embeddings
Kimothi, Dhananjay and Shukla, Ankita and Biyani, Pravesh and Anand, Saket and Hogan, James M
ieee:8227769

Sequence representations and their utility for predicting protein-protein interactions
Kimothi, Dhananjay and Biyani, Pravesh and Hogan, James M
biorXiv:2019.12.31.890699