Graduate research
I have worked on a range of phenomics and genomics projects:
Research interest keywords: precision medicine, prognostics, EHR statistical genetics, machine learning, network science, time series, predictive modeling, patient-facing tool development
Singhal P, Kumar R, Morse C, Byrska-Bishop M, Ritchie MD, Verma A. {2023} Clinical event prediction of cardiovascular outcomes in EHR using disease trajectory modeling. Manuscript in preparation.
Singhal P, Tan A, Drivas T, Ritchie MD, Beaulieu-Jones B. Opportunities and Challenges for Biomarker Discovery Using Electronic Health Record Data. (2023) Manuscript submitted. Trends in Molecular Medicine.
Singhal P, Veturi S, et al. (2023) Largest genome-wide long range interaction study identifies interchromosomal associations across 5 complex diseases in the UK Biobank and eMERGE datasets. In press. American Journal for Human Genetics. Preprint: https://doi.org/10.1101/2022.10.19.22280888
Singhal P, Verma SS, Ritchie MD. (2023) Gene Interactions in Human Disease Studies – Evidence is Mounting. In press. Annual Review of Biomedical Data Science.
Singhal P, Guare L, Morse C, et al. (2023)DETECT: Feature extraction method for disease trajectory modeling. In press. American Medical Informatics Association Informatics Summit. Preprint: https://doi.org/10.1101/2022.11.06.22281817
Nam Y, Jung S, Yun J, Sriram V, Singhal P, et al. (2023) Discovering comorbid diseases using an inter-disease interactivity network based on biobank-scale PheWAS data. Bioinformatics. https://doi.org/10.1093/bioinformatics/btac822
Singhal P, Veturi Y, Judy R, Park Y, Vujkovic M, Veatch O, Kember R, Verma SS. (2023) session Introduction: SALUD: Scalable Applications of cLinical risk Utility and preDiction. Pacific Sym on Biocomputing. https://doi.org/10.1142/9789811270611_0037
Levin MG, Tsao NL, Singhal P, et al. (2022) Genome-wide association and multi-train analyses characterize the common genetic architecture of heart failure. Nature Communications. https://doi.org/10.1038/s41467-022-34216-6
Hwang G, Wen J, Sotardi S, Brodkin ES, Chand GB, Dwyer DB, Erus G, Doshi J, Singhal P, et al. (2022) Three Imaging Endophenotypes Characterize Neuroanatomical Heterogeneity of Autism Spectrum Disorder. JAMA Psychiatry. https://doi.org/10.1101/2022.06.17.22276543
Chand G, Singhal P, Dwyer D, et al. (2022) Schizophrenia imaging signatures and their associations with cognition, psychopathology, and genetics in the general population. American Journal of Psychiatry. https://doi.org/10.1176/appi.ajp.21070686
Reza N, Bone WP, Yang Y, Singhal P, et al. {2022} A supervised learning method for classification of electronic health-record based phenotypes. Manuscript in preparation.
Nguyen M, Singhal P, Monaghan JR, et al. (2017)Retinoic acid receptor regulation of epimorphic and homeostatic regeneration in the axolotl. Development. 144: 601-611. https://doi.org/10.1242/dev.139873
Friedland AE, Baral R, Singhal P, et al. (2015) Characterization of Staphylococcus aureus Cas9: a smaller Cas9 for all-in-one adeno-associated virus delivery and paired nickase applications. Genome Biology 16: 257. https://doi.org/10.1186/s13059-015-0817-8
Copyright © 2023 Pankhuri Singhal - All Rights Reserved.
Powered by GoDaddy Website Builder
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.