Haitham Elmarakeby
Haitham Elmarakeby
Dana-Farber Cancer Institute, Broad Institute of MIT & Harvard
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Author Correction: 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 26 (7), 1147, 2020
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Artikkelit 1–20