4 code implementations • 26 Jun 2023 • Zhihan Zhou, Yanrong Ji, Weijian Li, Pratik Dutta, Ramana Davuluri, Han Liu
Decoding the linguistic intricacies of the genome is a crucial problem in biology, and pre-trained foundational models such as DNABERT and Nucleotide Transformer have made significant strides in this area.
1 code implementation • Findings (ACL) 2021 • Sriram Pingali, Shweta Yadav, Pratik Dutta, Sriparna Saha
The recent advancement of pre-trained Transformer models has propelled the development of effective text mining models across various biomedical tasks.
no code implementations • ACL 2020 • Pratik Dutta, Sriparna Saha
As a first step towards enabling the development of multimodal approaches for PPI identification, we have developed two multi-modal datasets which are extensions and multi-modal versions of two popular benchmark PPI corpora (BioInfer and HRPD50).