Upendra Kumar Pradhan

The paper introduces CTF-BIND, a deep learning framework that detects TF binding from RNA-seq data without ChIP-seq, achieving 93% accuracy in plant stress response analysis.

RBPSpot identifies RBP binding sites using contextual sequence features and a DNN, achieving ~90% accuracy and outperforming existing tools across multiple datasets.

miRbiom uses Bayesian causal networks of RBP-miRNA interactions to predict miRNA profiles with high accuracy without requiring separate miRNA profiling experiments.