The sequence of the human genome JC Venter, MD Adams, EW Myers, PW Li, RJ Mural, GG Sutton, HO Smith, ... science 291 (5507), 1304-1351, 2001 | 20227 | 2001 |
A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae P Uetz, L Giot, G Cagney, TA Mansfield, RS Judson, JR Knight, ... Nature 403 (6770), 623-627, 2000 | 6145 | 2000 |
Modeling disease progression via fused sparse group lasso J Zhou, J Liu, VA Narayan, J Ye Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 228 | 2012 |
Modeling disease progression via multi-task learning J Zhou, J Liu, VA Narayan, J Ye, ... NeuroImage 78, 233-248, 2013 | 225 | 2013 |
Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data L Yuan, Y Wang, PM Thompson, VA Narayan, J Ye, ... NeuroImage 61 (3), 622-632, 2012 | 202 | 2012 |
Using smartphones and wearable devices to monitor behavioral changes during COVID-19 S Sun, AA Folarin, Y Ranjan, Z Rashid, P Conde, C Stewart, N Cummins, ... Journal of medical Internet research 22 (9), e19992, 2020 | 197 | 2020 |
Structures of zinc finger domains from transcription factor Sp1: Insights into sequence-specific protein-DNA recognition VA Narayan, RW Kriwacki, JP Caradonna Journal of biological chemistry 272 (12), 7801-7809, 1997 | 197 | 1997 |
Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data J Ye, M Farnum, E Yang, R Verbeeck, V Lobanov, N Raghavan, G Novak, ... BMC neurology 12, 1-12, 2012 | 152 | 2012 |
An improved model for disease progression in patients from the Alzheimer's disease neuroimaging initiative MN Samtani, M Farnum, V Lobanov, E Yang, N Raghavan, A DiBernardo, ... The Journal of Clinical Pharmacology 52 (5), 629-644, 2012 | 105 | 2012 |
Remote assessment of disease and relapse in major depressive disorder (RADAR-MDD): a multi-centre prospective cohort study protocol F Matcham, C Barattieri di San Pietro, V Bulgari, G De Girolamo, ... BMC psychiatry 19, 1-11, 2019 | 97 | 2019 |
The ADAS-Cog revisited: novel composite scales based on ADAS-Cog to improve efficiency in MCI and early AD trials N Raghavan, MN Samtani, M Farnum, E Yang, G Novak, M Grundman, ... Alzheimer's & Dementia 9 (1), S21-S31, 2013 | 96 | 2013 |
Pancreatic cancer targets and uses thereof B Domon, I McCaffery, V Narayan, S Patterson US Patent 7,473,531, 2009 | 89 | 2009 |
Quantifying the pathophysiological timeline of Alzheimer's disease E Yang, M Farnum, V Lobanov, T Schultz, N Raghavan, MN Samtani, ... Journal of Alzheimer's Disease 26 (4), 745-753, 2011 | 75 | 2011 |
Analysis of 23andMe antidepressant efficacy survey data: implication of circadian rhythm and neuroplasticity in bupropion response QS Li, C Tian, GR Seabrook, WC Drevets, VA Narayan Translational psychiatry 6 (9), e889-e889, 2016 | 73 | 2016 |
Disease progression model for clinical dementia rating–sum of boxes in mild cognitive impairment and Alzheimer’s subjects from the Alzheimer’s disease Neuroimaging initiative MN Samtani, N Raghavan, G Novak, P Nandy, VA Narayan Neuropsychiatric disease and treatment, 929-952, 2014 | 65 | 2014 |
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data L Yuan, Y Wang, PM Thompson, VA Narayan, J Ye Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 58 | 2012 |
Real-time assessment of COVID-19 prevalence among multiple sclerosis patients: a multicenter European study G Dalla Costa, L Leocani, X Montalban, AI Guerrero, PS Sørensen, ... Neurological Sciences 41, 1647-1650, 2020 | 57 | 2020 |
Identifying amyloid pathology–related cerebrospinal fluid biomarkers for Alzheimer's disease in a multicohort study YY Leung, JB Toledo, A Nefedov, R Polikar, N Raghavan, SX Xie, ... Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 1 (3 …, 2015 | 57 | 2015 |
Predictive modeling of treatment resistant depression using data from STAR* D and an independent clinical study Z Nie, S Vairavan, VA Narayan, J Ye, QS Li PloS one 13 (6), e0197268, 2018 | 56 | 2018 |
Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study F Matcham, D Leightley, S Siddi, F Lamers, KM White, P Annas, ... BMC psychiatry 22 (1), 136, 2022 | 50 | 2022 |