Gunjan Dixit

This study shows that ambient RNA correction can reduce doublet detection accuracy and recommends detecting doublets before correction, except when using CellBender.

The paper evaluates and optimizes sequence-based gene regulatory deep learning models using a DREAM Challenge dataset, showing improvements through architectural and training strategy refinements.

CRMnet is a deep learning model that predicts gene expression from regulatory sequences in yeast, achieving high accuracy and identifying transcription factor binding sites through model interpretation.