| 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 | 53 | 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), 330, 2019 | 49 | 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 | 31 | 2020 |
| 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), 28, 2022 | 18 | 2022 |
| 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 | 17 | 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 | 8 | 2021 |
| 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 | 7 | 2022 |
| 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 | 7 | 2017 |
| DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype–phenotype prediction PB Chandrashekar, S Alatkar, J Wang, GE Hoffman, C He, T Jin, S Khullar, ... Genome Medicine 15 (1), 88, 2023 | 2 | 2023 |
| 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 | 1 | 2019 |
| DeepCORE: An interpretable multi-view deep neural network model to detect co-operative regulatory elements PB Chandrashekar, H Chen, M Lee, N Ahmadinejad, L Liu Computational and Structural Biotechnology Journal 23, 679-687, 2024 | | 2024 |
| DeepGAMI: Deep biologically guided auxiliary learning for multimodal integration and imputation to improve phenotype prediction PB Chandrashekar, J Wang, GE Hoffman, C He, T Jin, S Alatkar, S Khullar, ... bioRxiv, 2022.08. 16.504101, 2022 | | 2022 |
| Fine Mapping Functional Noncoding Genetic Elements Via Machine Learning PB Chandrashekar Arizona State University, 2020 | | 2020 |
Li LiuAssociate Professor, Arizona State UniversityDirección de correo verificada de asu.edu
