| A framework for the interpretation of de novo mutation in human disease KE Samocha, EB Robinson, SJ Sanders, C Stevens, A Sabo, LM McGrath, ... Nature genetics 46 (9), 944-950, 2014 | 1235 | 2014 |
| The role of selection in the evolution of human mitochondrial genomes T Kivisild, P Shen, DP Wall, B Do, R Sung, K Davis, G Passarino, ... Genetics 172 (1), 373-387, 2006 | 613 | 2006 |
| Inherited and de novo genetic risk for autism impacts shared networks EK Ruzzo, L Pérez-Cano, JY Jung, L Wang, D Kashef-Haghighi, C Hartl, ... Cell 178 (4), 850-866. e26, 2019 | 460 | 2019 |
| Use of machine learning to shorten observation-based screening and diagnosis of autism DP Wall, J Kosmicki, TF Deluca, E Harstad, VA Fusaro Translational psychiatry 2 (4), e100-e100, 2012 | 392 | 2012 |
| Refining the role of de novo protein-truncating variants in neurodevelopmental disorders by using population reference samples JA Kosmicki, KE Samocha, DP Howrigan, SJ Sanders, K Slowikowski, ... Nature genetics 49 (4), 504-510, 2017 | 382 | 2017 |
| Use of machine learning for behavioral distinction of autism and ADHD M Duda, R Ma, N Haber, DP Wall Translational psychiatry 6 (2), e732-e732, 2016 | 369 | 2016 |
| Detecting putative orthologs DP Wall, HB Fraser, AE Hirsh Bioinformatics 19 (13), 1710-1711, 2003 | 364 | 2003 |
| Heterogeneous dysregulation of microRNAs across the autism spectrum K Abu-Elneel, T Liu, FS Gazzaniga, Y Nishimura, DP Wall, DH Geschwind, ... neurogenetics 9 (3), 153-161, 2008 | 356 | 2008 |
| Functional genomic analysis of the rates of protein evolution DP Wall, AE Hirsh, HB Fraser, J Kumm, G Giaever, MB Eisen, ... Proceedings of the National Academy of Sciences 102 (15), 5483-5488, 2005 | 327 | 2005 |
| Searching for a minimal set of behaviors for autism detection through feature selection-based machine learning JA Kosmicki, V Sochat, M Duda, DP Wall Translational psychiatry 5 (2), e514-e514, 2015 | 323 | 2015 |
| Use of artificial intelligence to shorten the behavioral diagnosis of autism DP Wall, R Dally, R Luyster, JY Jung, TF DeLuca Public Library of Science 7 (8), e43855, 2012 | 295 | 2012 |
| Coevolution of gene expression among interacting proteins HB Fraser, AE Hirsh, DP Wall, MB Eisen Proceedings of the National Academy of Sciences 101 (24), 9033-9038, 2004 | 283 | 2004 |
| Effect of wearable digital intervention for improving socialization in children with autism spectrum disorder: a randomized clinical trial C Voss, J Schwartz, J Daniels, A Kline, N Haber, P Washington, Q Tariq, ... JAMA pediatrics 173 (5), 446-454, 2019 | 261 | 2019 |
| Mobile detection of autism through machine learning on home video: A development and prospective validation study Q Tariq, J Daniels, JN Schwartz, P Washington, H Kalantarian, DP Wall PLoS medicine 15 (11), e1002705, 2018 | 256 | 2018 |
| Machine learning approach for early detection of autism by combining questionnaire and home video screening H Abbas, F Garberson, E Glover, DP Wall Journal of the American Medical Informatics Association 25 (8), 1000-1007, 2018 | 240 | 2018 |
| A simple dependence between protein evolution rate and the number of protein-protein interactions HB Fraser, DP Wall, AE Hirsh BMC evolutionary biology 3 (1), 11, 2003 | 226 | 2003 |
| Multi-level analysis of the gut–brain axis shows autism spectrum disorder-associated molecular and microbial profiles JT Morton, DM Jin, RH Mills, Y Shao, G Rahman, D McDonald, Q Zhu, ... Nature neuroscience 26 (7), 1208-1217, 2023 | 206 | 2023 |
| Biomedical cloud computing with amazon web services VA Fusaro, P Patil, E Gafni, DP Wall, PJ Tonellato PLoS computational biology 7 (8), e1002147, 2011 | 189 | 2011 |
| The semantic organization of the animal category: evidence from semantic verbal fluency and network theory J Goñi, G Arrondo, J Sepulcre, I Martincorena, N Vélez de Mendizábal, ... Cognitive processing 12 (2), 183-196, 2011 | 189 | 2011 |
| Automated integration of continuous glucose monitor data in the electronic health record using consumer technology RB Kumar, ND Goren, DE Stark, DP Wall, CA Longhurst Journal of the American Medical Informatics Association 23 (3), 532-537, 2016 | 177 | 2016 |
Jae-Yoon JungCenter for Biomedical Informatics, Harvard Medical SchoolVerified email at med.harvard.edu
