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P. Chandrashekar · SciRah

Researcher profile · Semantic Scholar

P. Chandrashekar

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P. Chandrashekar — researcher profile on SciRah

h-index: 9
Works: 22
Citations: 280

Most-cited papers

Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis
A. Sarker, P. Chandrashekar, Arjun Magge, Hai-Tao Cai +2 more
2017Journal of Medical Internet Research53 citations Open access
Semantic Scholar
Bringing machine learning to research on intellectual and developmental disabilities: taking inspiration from neurological diseases
Chirag Gupta, P. Chandrashekar, Ting Jin, Chen-Feng He +3 more
2022Journal of Neurodevelopmental Disorders48 citations Open access
Semantic Scholar
Biological relevance of computationally predicted pathogenicity of noncoding variants
Li Liu, Maxwell D. Sanderford, Ravi Patel, P. Chandrashekar +2 more
2019Nature Communications42 citations Open access
Semantic Scholar
Somatic selection distinguishes oncogenes and tumor suppressor genes
P. Chandrashekar, Navid Ahmadinejad, Jun-Wen Wang, A. Sekulic +5 more
2019Bioinform.39 citations Open access
Semantic Scholar
DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype–phenotype prediction
P. Chandrashekar, S. Alatkar, Jiebiao Wang, Gabriel E. Hoffman +7 more
2023Genome Medicine29 citations Open access
Semantic Scholar
Current State of Electronic Consent Processes in Behavioral Health: Outcomes from an Observational Study
Hiral C. Soni, Adela Grando, Anita C. Murcko, Mike Bayuk +14 more
2017American Medical Informatics Association Annual Symposium14 citations
Semantic Scholar
Accurate Identification of Subclones in Tumor Genomes
Navid Ahmadinejad, Shayna Troftgruben, Jun-Wen Wang, P. Chandrashekar +3 more
2022Molecular biology and evolution12 citations Open access
Semantic Scholar
TreeMap: a structured approach to fine mapping of eQTL variants
Li Liu, P. Chandrashekar, B. Zeng, Maxwell D. Sanderford +2 more
2020bioRxiv12 citations Open access
Semantic Scholar
Social media mining for identification and exploration of health-related information from pregnant women
P. Chandrashekar, Arjun Magge, A. Sarker, Graciela Gonzalez
2017arXiv.org10 citations
Semantic Scholar
Single-cell atlas of transcriptomic vulnerability across brain disorders
Donghoon Lee, Mikaela Koutrouli, Nicolas Y. Masse, Gabriel E. Hoffman +63 more
2026Nature6 citations Open access
Semantic Scholar
Lifespan single-cell transcriptomic atlas of the human prefrontal cortex
Hui Yang, Tereza Clarence, Madeline R. Scott, Xin-Yi Wang +64 more
2026Nature4 citations Open access
Semantic Scholar
Inferring virtual cell environments using multi-agent reinforcement learning
N. C. Kalafut, Chen-Feng He, Jie Sheng, P. Chandrashekar +2 more
2025bioRxiv3 citations
Semantic Scholar
DeepCORE: An interpretable multi-view deep neural network model to detect co-operative regulatory elements
P. Chandrashekar, Haiming Chen, Matthew E. Lee, Navid Ahmadinejad +1 more
2023Computational and Structural Biotechnology Journal3 citations Open access
Semantic Scholar
DeepGAMI: Deep biologically guided auxiliary learning for multimodal integration and imputation to improve phenotype prediction
P. Chandrashekar, Jiebiao Wang, G. Hoffman, Chen-Feng He +7 more
2022bioRxiv2 citations Open access
Semantic Scholar
Automated Comparison of Pathology Reports for On-the-job Assessment of Residents.
P. Chandrashekar, K. Montone, Michael D. Feldman, Graciela Gonzalez-Heranndez
2019AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2 citations
Semantic Scholar
Personalized single-cell transcriptomics reveals molecular diversity in Alzheimer’s disease
P. Chandrashekar, S. Alatkar, Noah Cohen Kalafut, Ting Jin +13 more
2026Nature Communications1 citations Open access
Semantic Scholar
Personalized Single-cell Transcriptomics Reveals Molecular Diversity in Alzheimer's Disease
P. Chandrashekar, S. Alatkar, N. C. Kalafut, T. Jin +14 more
2024medRxiv1 citations Open access
Semantic Scholar
DeepCORE: An interpretable multi-view deep neural network model to detect co-operative regulatory elements
P. Chandrashekar, Haiming Chen, Matthew E. Lee, Navid Ahmadinejad +1 more
2023bioRxiv1 citations Open access
Semantic Scholar
Single-cell multiome profiling reveals neuronal bias of modulatory role of MeCP2 phosphorylation
Ziyao Zhang, Xiang Huang, K. H. Arachchilage, P. Chandrashekar +4 more
2026Neurobiology of Disease0 citations Open access
Semantic Scholar
Fine Mapping Functional Noncoding Genetic Elements Via Machine Learning
P. Chandrashekar
20200 citations
Semantic Scholar
Contextual Classifications of Cancer Driver Genes
P. Chandrashekar, Navid Ahmadinejad, Jun-Wen Wang, A. Sekulic +4 more
2019bioRxiv0 citations Open access
Semantic Scholar
A Timeline Extraction Approach to Derive Drug Usage Patterns in Pregnant Women Using Social Media
P. Chandrashekar
20160 citations
Semantic Scholar

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