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Haitham Ashoor

Showing results (1-10 of 15) with videos related to

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Genomics, Proteomics & Bioinformatics|December 23, 2018
TELS: A Novel Computational Framework for Identifying Motif Signatures of Transcribed EnhancersDimitrios Kleftogiannis, Haitham Ashoor, Vladimir B Bajic
Bioinformatics (Oxford, England)|November 30, 2017
DDR: efficient computational method to predict drug-target interactions using graph mining and machine learning approachesRawan S Olayan, Haitham Ashoor, Vladimir B Bajic
Bioinformatics (Oxford, England)|June 20, 2018
DDR: efficient computational method to predict drug-target interactions using graph mining and machine learning approachesRawan S Olayan, Haitham Ashoor, Vladimir B Bajic
Database : the Journal of Biological Databases and Curation|September 7, 2015
DENdb: database of integrated human enhancersHaitham Ashoor, Dimitrios Kleftogiannis, Aleksandar Radovanovic, et al.
Nucleic Acids Research|January 6, 2017
HMCan-diff: a method to detect changes in histone modifications in cells with different genetic characteristicsHaitham Ashoor, Caroline Louis-Brennetot, Isabelle Janoueix-Lerosey, et al.
Bioinformatics (Oxford, England)|September 12, 2013
HMCan: a method for detecting chromatin modifications in cancer samples using ChIP-seq dataHaitham Ashoor, Aurélie Hérault, Aurélie Kamoun, et al.
Scientific Reports|January 12, 2021
epihet for intra-tumoral epigenetic heterogeneity analysis and visualizationXiaowen Chen, Haitham Ashoor, Ryan Musich, et al.
Nature Communications|March 5, 2020
Graph embedding and unsupervised learning predict genomic sub-compartments from HiC chromatin interaction dataHaitham Ashoor, Xiaowen Chen, Wojciech Rosikiewicz, et al.
Ebiomedicine|June 28, 2023
Plasma protein biomarkers for early prediction of lung cancerMichael P A Davies, Takahiro Sato, Haitham Ashoor, et al.
Journal of Cheminformatics|January 12, 2021
DTiGEMS+: drug-target interaction prediction using graph embedding, graph mining, and similarity-based techniquesMaha A Thafar, Rawan S Olayan, Haitham Ashoor, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Genomics, Proteomics & Bioinformatics|December 23, 2018
TELS: A Novel Computational Framework for Identifying Motif Signatures of Transcribed EnhancersDimitrios Kleftogiannis, Haitham Ashoor, Vladimir B Bajic
Bioinformatics (Oxford, England)|November 30, 2017
DDR: efficient computational method to predict drug-target interactions using graph mining and machine learning approachesRawan S Olayan, Haitham Ashoor, Vladimir B Bajic
Bioinformatics (Oxford, England)|June 20, 2018
DDR: efficient computational method to predict drug-target interactions using graph mining and machine learning approachesRawan S Olayan, Haitham Ashoor, Vladimir B Bajic
Database : the Journal of Biological Databases and Curation|September 7, 2015
DENdb: database of integrated human enhancersHaitham Ashoor, Dimitrios Kleftogiannis, Aleksandar Radovanovic, et al.
Nucleic Acids Research|January 6, 2017
HMCan-diff: a method to detect changes in histone modifications in cells with different genetic characteristicsHaitham Ashoor, Caroline Louis-Brennetot, Isabelle Janoueix-Lerosey, et al.
Bioinformatics (Oxford, England)|September 12, 2013
HMCan: a method for detecting chromatin modifications in cancer samples using ChIP-seq dataHaitham Ashoor, Aurélie Hérault, Aurélie Kamoun, et al.
Scientific Reports|January 12, 2021
epihet for intra-tumoral epigenetic heterogeneity analysis and visualizationXiaowen Chen, Haitham Ashoor, Ryan Musich, et al.
Nature Communications|March 5, 2020
Graph embedding and unsupervised learning predict genomic sub-compartments from HiC chromatin interaction dataHaitham Ashoor, Xiaowen Chen, Wojciech Rosikiewicz, et al.
Ebiomedicine|June 28, 2023
Plasma protein biomarkers for early prediction of lung cancerMichael P A Davies, Takahiro Sato, Haitham Ashoor, et al.
Journal of Cheminformatics|January 12, 2021
DTiGEMS+: drug-target interaction prediction using graph embedding, graph mining, and similarity-based techniquesMaha A Thafar, Rawan S Olayan, Haitham Ashoor, et al.
Pageof 2