Dissecting murine muscle stem cell aging through regeneration using integrative genomic analysis A Shcherbina, J Larouche, P Fraczek, BA Yang, LA Brown, JF Markworth, ... Cell reports 32 (4), 2020 | 53 | 2020 |
The deacylase SIRT5 supports melanoma viability by influencing chromatin dynamics W Giblin, L Bringman-Rodenbarger, AH Guo, S Kumar, AC Monovich, ... The Journal of clinical investigation 131 (12), 2021 | 28 | 2021 |
Next-generation genome-scale metabolic modeling through integration of regulatory mechanisms CH Chung, DW Lin, A Eames, S Chandrasekaran Metabolites 11 (9), 606, 2021 | 21 | 2021 |
Acetyl-CoA metabolism drives epigenome change and contributes to carcinogenesis risk in fatty liver disease G Assante, S Chandrasekaran, S Ng, A Tourna, CH Chung, KA Isse, ... Genome medicine 14 (1), 67, 2022 | 13 | 2022 |
A flux-based machine learning model to simulate the impact of pathogen metabolic heterogeneity on drug interactions CH Chung, S Chandrasekaran PNAS nexus 1 (3), pgac132, 2022 | 9 | 2022 |
Machine learning to design antimicrobial combination therapies: Promises and pitfalls JM Cantrell, CH Chung, S Chandrasekaran Drug Discovery Today 27 (6), 1639-1651, 2022 | 7 | 2022 |
Lipid exposure activates gene expression changes associated with estrogen receptor negative breast cancer S Yadav, R Virk, CH Chung, MB Eduardo, D VanDerway, D Chen, ... NPJ Breast Cancer 8 (1), 59, 2022 | 4 | 2022 |
Dissecting Muscle Stem Cell Aging Through Integrative Genomic Analysis A Shcherbina, J Larouche, BA Yang, LA Brown, JF Markworth, C Chung, ... Available at SSRN 3487670, 2019 | 1 | 2019 |
Integrative analysis of multimodal patient data identifies personalized predictors of tuberculosis treatment prognosis A Sambarey, K Smith, C Chung, HS Arora, Z Yang, PP Agarwal, ... Iscience 27 (2), 2024 | | 2024 |
Acetyl-CoA metabolism drives epigenome change and contributes to carcinogenesis risk in fatty liver disease (vol 14, 67, 2022) G Assante, S Chandrasekaran, S Ng, A Tourna, CH Chung, KA Isse, ... GENOME MEDICINE 15 (1), 2023 | | 2023 |
Lipid exposure activates gene expression changes associated with estrogen receptor negative breast cancer (May, 10.1038/s41523022-00422-0, 2022) S Yadav, R Virk, CH Chung, MB Eduardo, D VanDerway, D Chen, ... NPJ BREAST CANCER 9 (1), 2023 | | 2023 |
Leveraging Systems-level Metabolic Modeling and Machine Learning to Optimize Antibiotic Combination Therapy Design C Chung | | 2023 |
Correction: Acetyl-CoA metabolism drives epigenome change and contributes to carcinogenesis risk in fatty liver disease G Assante, S Chandrasekaran, S Ng, A Tourna, CH Chung, KA Isse, ... Genome Medicine 15, 2023 | | 2023 |
Author Correction: Lipid exposure activates gene expression changes associated with estrogen receptor negative breast cancer S Yadav, R Virk, CH Chung, MB Eduardo, D VanDerway, D Chen, ... NPJ Breast Cancer 9, 2023 | | 2023 |
Acetyl coenzyme A metabolism drives epigenome change and contributes to carcinogenesis risk in fatty liver disease G Assante, S Chandrasekaran, S Ng, A Tourna, C Chung, K Isse, J Banks, ... JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY 37, 24-25, 2022 | | 2022 |
Integrative analysis of clinical health records, imaging and pathogen genomics identifies personalized predictors of disease prognosis in tuberculosis A Sambarey, K Smith, C Chung, HS Arora, Z Yang, P Agarwal, ... medRxiv, 2022 | | 2022 |
Abstract PS17-40: Fatty acid metabolism at the connection of histone methylation and mammary cell plasticity S Yadav, RKA Virk, CH Chung, S Chandrasekaran, V Backman, SA Khan, ... Cancer Research 81 (4_Supplement), PS17-40-PS17-40, 2021 | | 2021 |
Exposure of mammary cells to lipid activates gene expression changes associated with ER-negative breast cancer via chromatin remodeling S Yadav, R Virk, CH Chung, D Van Derway, D Chen, K Burdett, H Gao, ... bioRxiv, 2020.12. 13.422540, 2020 | | 2020 |
The deacylase SIRT5 supports melanoma viability by regulating chromatin dynamics W Giblin, L Bringman-Rodenbarger, AH Guo, S Kumar, AC Monovich, ... bioRxiv, 2020.09. 07.286526, 2020 | | 2020 |
Integrative Analysis of Multimodal Patient Data Identifies Efficacious Drug Regimens and Personalized Predictors of Tuberculosis Treatment Prognosis A Sambarey, K Smith, C Chung, HS Arora, Z Yang, PP Agarwal, ... Available at SSRN 4526525, 0 | | |