23 citations · 24 across the 4 of their papers we have counts for
4 papers
A Comprehensive Review of Transformer-based language models for Protein Sequence Analysis and Design
Nimisha Ghosh, Daniele Santoni, Debaleena Nawn +2
The impact of Transformer-based language models has been unprecedented in Natural Language Processing (NLP). The success of such models has also led to their adoption in other fiel…
TFBS-Finder: Deep Learning-based Model with DNABERT and Convolutional Networks to Predict Transcription Factor Binding Sites
Nimisha Ghosh, Pratik Dutta, Daniele Santoni
Transcription factors are proteins that regulate the expression of genes by binding to specific genomic regions known as Transcription Factor Binding Sites (TFBSs), typically locat…
A Review on the Applications of Transformer-based language models for Nucleotide Sequence Analysis
Nimisha Ghosh, Daniele Santoni, Indrajit Saha +1
In recent times, Transformer-based language models are making quite an impact in the field of natural language processing. As relevant parallels can be drawn between biological seq…
Predicting Transcription Factor Binding Sites using Transformer based Capsule Network
Nimisha Ghosh, Daniele Santoni, Indrajit Saha +1
Prediction of binding sites for transcription factors is important to understand how they regulate gene expression and how this regulation can be modulated for therapeutic purposes…