TeamSundar

TransDTI

TransDTI: Transformer-based language models for estimating DTIs and building a drug-recommendation workflow

BRCA_multiomics

Survival and drug response prediction for BRCA patients

CRISP-RCNN

crispr-cas9-dG-study

dNNDR

m-ionic

Protein-metal ion interaction modeling

SurvCNN

Redefining the utility of multi-omics data in cancer survival analysis

ISD-Model-Phosphatidylserine-Exposure-Study

TFactorNN

ML workflow to identify novel transcription binding sites in the genome

CRISPR-Cpf1_study

This study was undergone to develop a off-target-prediction pipeline and study biological importance of features using machine learning approach and statistical analyses.

dNNDR-featx

Multiomics-LUAD

Multiple-myeloma_prognosis

Anticancer-Activity-Prediction

Anticancer acrtivity prediction

classificaion-of-CRISPR-genome-edits

geodbind

Geometric deep learnign for modeling drug-target interactions and small molecule optimization

Stratum-Corneum-Model