Pyaree Mohan Dash

Uniform processing and analysis of IGVF massively parallel reporter assay data with MPRAsnakeflow

The paper introduces standardized formats and tools for processing MPRA data to improve reproducibility and integration across studies.

Massively parallel characterization and predictive modelling of neuronal regulatory variation

The paper characterizes regulatory variants in human neurons using lentiMPRA and shows that variant effects are influenced by regulatory element activity and sequence context, not population frequency.

Massively parallel characterization of transcriptional regulatory elements in three diverse human cell types

The paper identifies functional cis-regulatory elements in three human cell types using lentiMPRAs and develops predictive models for CRE function.

Evaluation and optimization of sequence-based gene regulatory deep learning models

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.