Sai Ritesh Thela

Deep5hmC: Predicting genome-wide 5-Hydroxymethylcytosine landscape via a multimodal deep learning model

Deep5hmC predicts genome-wide 5hmC modification using a multimodal deep learning model, outperforming unimodal models and existing methods in both qualitative and quantitative predictions.

In silico generation and augmentation of regulatory variants from massively parallel reporter assay using conditional variational autoencoder

The paper introduces MpraVAE, a deep generative model that generates and augments regulatory variant data from MPRA, improving prediction performance for regulatory variants in autoimmune diseases.