Yoo-Ah Kim

Influence network model uncovers relations between biological processes and mutational signatures

The paper introduces a network-based method to uncover relationships between mutational signatures and biological processes in cancer data.

Mutational Signatures as Sensors of Environmental Exposures: Role of Smoking in COVID-19 Vulnerabilities

This study uses mutational signatures to assess the impact of smoking on biological processes related to SARS-CoV-2 infection and disease progression in COVID-19.

RepairSig: Deconvolution of DNA damage and repaircontributions to the mutational landscape of cancer

RepairSig identifies DNA repair deficiency mutational signatures in cancer by modeling interactions between mutagenic processes, replacing multiple signatures with a single representative one in breast cancer.

Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer

The paper identifies functional pathways associated with mutational signatures in breast cancer, revealing differences in the etiology of APOBEC and clock-like signatures.

Identifying Drug Sensitivity Subnetworks with NETPHIX

NETPHIX identifies mutated subnetworks associated with drug response by leveraging network properties and integer linear programming, revealing novel gene modules linked to MEK1/2 inhibitor sensitivity.

Hidden Markov Models Lead to Higher Resolution Maps of Mutation Signature Activity in Cancer

This paper introduces sequence-dependent models for mutation signatures, improving the resolution of mutation signature activity in cancer by accounting for dependencies between mutations.