Singh Lab

A linear-transformation based framework for integrating data with constraint based metabolic models

Fast, accurate construction of multiple sequence alignments from protein language embeddings

PathwayCCA is a framework for pathway-level association analysis between multi-omic driver alterations and gene-set expression programs. The repository provides a complete implementation of Regularized CCA (RCCA), Constrained CCA (CCCA), and the proposed PathwayCCA framework with resampling-based hypothesis test.

KINAID Dashboard and library code

Implementation of ISMB-25 Paper: Locality-aware pooling enhances protein language model performance across varied applications

Code to generate supplementary figures for optos paper

All relevant code and results used in "Novel Neuronal Identities Derived by Misexpression of the POU IV Sensory Determinant in a Proto-Vertebrate". Chacha et al., PNAS 2021.