Pramod Bharadwaj Chandrashekar
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Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis
A Sarker, C Pramod, A Magge, H Cai, A Klien, G Gonzalez
Journal of Medical Internet Research 19, 2017
Biological relevance of computationally predicted pathogenicity of noncoding variants
L Liu, MD Sanderford, R Patel, P Chandrashekar, G Gibson, S Kumar
Nature communications 10 (1), 1-11, 2019
Somatic selection distinguishes oncogenes and tumor suppressor genes
P Chandrashekar, N Ahmadinejad, J Wang, A Sekulic, JB Egan, ...
Bioinformatics 36 (6), 1712-1717, 2020
Current state of electronic consent processes in behavioral health: outcomes from an observational study
H Soni, A Grando, A Murcko, M Bayuk, P Chandrashekar, M Mukundan, ...
AMIA annual symposium proceedings 2017, 1607, 2017
TreeMap: a structured approach to fine mapping of eQTL variants
L Liu, P Chandrashekar, B Zeng, MD Sanderford, S Kumar, G Gibson
Bioinformatics 37 (8), 1125-1134, 2021
Social media mining for identification and exploration of health-related information from pregnant women
PB Chandrashekar, A Magge, A Sarker, G Gonzalez
arXiv preprint arXiv:1702.02261, 2017
Bringing machine learning to research on intellectual and developmental disabilities: taking inspiration from neurological diseases
C Gupta, P Chandrashekar, T Jin, C He, S Khullar, Q Chang, D Wang
Journal of Neurodevelopmental Disorders 14 (1), 1-22, 2022
Automated comparison of pathology reports for on-the-job assessment of residents
PB Chandrashekar, K Montone, MD Feldman, G Gonzalez-Heranndez
AMIA Summits on Translational Science Proceedings 2019, 495, 2019
Accurate Identification of Subclones in Tumor Genomes
N Ahmadinejad, S Troftgruben, J Wang, PB Chandrashekar, V Dinu, ...
Molecular Biology and Evolution 39 (7), msac136, 2022
Fine Mapping Functional Noncoding Genetic Elements Via Machine Learning
PB Chandrashekar
Arizona State University, 2020
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