| Integrative molecular and clinical modeling of clinical outcomes to PD1 blockade in patients with metastatic melanoma D Liu, B Schilling, D Liu, A Sucker, E Livingstone, L Jerby-Arnon, ... Nature medicine 25 (12), 1916-1927, 2019 | 777 | 2019 |
| Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, ... Nature communications 10 (1), 2674, 2019 | 325 | 2019 |
| Biologically informed deep neural network for prostate cancer discovery HA Elmarakeby, J Hwang, R Arafeh, J Crowdis, S Gang, D Liu, ... Nature 598 (7880), 348-352, 2021 | 309 | 2021 |
| Genomics of response to immune checkpoint therapies for cancer: implications for precision medicine JR Conway, E Kofman, SS Mo, H Elmarakeby, E Van Allen Genome medicine 10, 1-18, 2018 | 150 | 2018 |
| Assessment of deep natural language processing in ascertaining oncologic outcomes from radiology reports KL Kehl, H Elmarakeby, M Nishino, EM Van Allen, EM Lepisto, MJ Hassett, ... JAMA oncology 5 (10), 1421-1429, 2019 | 147 | 2019 |
| Harmonization of tumor mutational burden quantification and association with response to immune checkpoint blockade in non–small-cell lung cancer NI Vokes, D Liu, B Ricciuti, E Jimenez-Aguilar, H Rizvi, F Dietlein, MX He, ... JCO precision oncology 3, 1-12, 2019 | 111 | 2019 |
| ATM loss confers greater sensitivity to ATR inhibition than PARP inhibition in prostate cancer S Rafiei, K Fitzpatrick, D Liu, MY Cai, HA Elmarakeby, J Park, C Ricker, ... Cancer research 80 (11), 2094-2100, 2020 | 100 | 2020 |
| Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis SK Sieberts, F Zhu, J García-García, E Stahl, A Pratap, G Pandey, ... Nature communications 7 (1), 12460, 2016 | 97 | 2016 |
| Natural language processing to ascertain cancer outcomes from medical oncologist notes KL Kehl, W Xu, E Lepisto, H Elmarakeby, MJ Hassett, EM Van Allen, ... JCO Clinical Cancer Informatics 4, 680-690, 2020 | 74 | 2020 |
| Potential targets of VIVIPAROUS1/ABI3‐LIKE1 (VAL1) repression in developing Arabidopsis thaliana embryos A Schneider, D Aghamirzaie, H Elmarakeby, AN Poudel, AJ Koo, ... The Plant Journal 85 (2), 305-319, 2016 | 65 | 2016 |
| A Machine Learning Approach to Predict Gene Regulatory Networks in Seed Development in Arabidopsis LSH Ying Ni, Delasa Aghamirzaie, Haitham Elmarakeby, Eva Collakova, Song Li ... Frontiers in Plant Science, 2016 | 64 | 2016 |
| A System to Automatically Classify and Name Any Individual Genome-Sequenced Organism Independently of Current Biological Classification and Nomenclature BAV Haitham Marakeby, Eman Badr , Hanaa Torkey PLoS ONE 9 (2), 2014 | 50 | 2014 |
| Artificial intelligence-aided clinical annotation of a large multi-cancer genomic dataset KL Kehl, W Xu, A Gusev, Z Bakouny, TK Choueiri, IB Riaz, H Elmarakeby, ... Nature communications 12 (1), 7304, 2021 | 49 | 2021 |
| Detection of pathogenic variants with germline genetic testing using deep learning vs standard methods in patients with prostate cancer and melanoma SH AlDubayan, JR Conway, SY Camp, L Witkowski, E Kofman, ... Jama 324 (19), 1957-1969, 2020 | 41 | 2020 |
| A proposal for a genome similarity-based taxonomy for plant-pathogenic bacteria that is sufficiently precise to reflect phylogeny, host range, and outbreak affiliation applied … BA Vinatzer, AJ Weisberg, CL Monteil, HA Elmarakeby, SK Sheppard, ... Phytopathology 107 (1), 18-28, 2017 | 35 | 2017 |
| Systematic auditing is essential to debiasing machine learning in biology FE Eid, HA Elmarakeby, YA Chan, N Fornelos, M ElHefnawi, ... Communications biology 4 (1), 183, 2021 | 34 | 2021 |
| A community challenge for inferring genetic predictors of gene essentialities through analysis of a functional screen of cancer cell lines M Gönen, BA Weir, GS Cowley, F Vazquez, Y Guan, A Jaiswal, ... Cell systems 5 (5), 485-497. e3, 2017 | 24 | 2017 |
| Integrating molecular profiles into clinical frameworks through the Molecular Oncology Almanac to prospectively guide precision oncology B Reardon, ND Moore, NS Moore, E Kofman, SH AlDubayan, ... Nature cancer 2 (10), 1102-1112, 2021 | 20 | 2021 |
| Clinical inflection point detection on the basis of EHR data to identify clinical trial–ready patients with cancer KL Kehl, S Groha, EM Lepisto, H Elmarakeby, J Lindsay, A Gusev, ... JCO Clinical Cancer Informatics 5, 622-630, 2021 | 15 | 2021 |
| Similarity-based codes sequentially assigned to ebolavirus genomes are informative of species membership, associated outbreaks, and transmission chains AJ Weisberg, HA Elmarakeby, LS Heath, BA Vinatzer Open forum infectious diseases 2 (1), ofv024, 2015 | 15 | 2015 |
Eliezer Van AllenDana-Farber Cancer InstituteVerified email at dfci.harvard.edu