Haitham Ashoor
Overview
Explore the profile of Haitham Ashoor including associated specialties, affiliations and a list of published articles.
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15
Citations
664
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0
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Recent Articles
1.
Davies M, Sato T, Ashoor H, Hou L, Liloglou T, Yang R, et al.
EBioMedicine
. 2023 Jun;
93:104686.
PMID: 37379654
Background: Individual plasma proteins have been identified as minimally invasive biomarkers for lung cancer diagnosis with potential utility in early detection. Plasma proteomes provide insight into contributing biological factors; we...
2.
Chen X, Ashoor H, Musich R, Wang J, Zhang M, Zhang C, et al.
Sci Rep
. 2021 Jan;
11(1):376.
PMID: 33432081
Intra-tumoral epigenetic heterogeneity is an indicator of tumor population fitness and is linked to the deregulation of transcription. However, there is no published computational tool to automate the measurement of...
3.
A Thafar M, Olayan R, Ashoor H, Albaradei S, Bajic V, Gao X, et al.
J Cheminform
. 2021 Jan;
12(1):44.
PMID: 33431036
In silico prediction of drug-target interactions is a critical phase in the sustainable drug development process, especially when the research focus is to capitalize on the repositioning of existing drugs....
4.
Ashoor H, Chen X, Rosikiewicz W, Wang J, Cheng A, Wang P, et al.
Nat Commun
. 2020 Mar;
11(1):1173.
PMID: 32127534
Chromatin interaction studies can reveal how the genome is organized into spatially confined sub-compartments in the nucleus. However, accurately identifying sub-compartments from chromatin interaction data remains a challenge in computational...
5.
Kleftogiannis D, Ashoor H, Bajic V
Genomics Proteomics Bioinformatics
. 2018 Dec;
16(5):332-341.
PMID: 30578915
In mammalian cells, transcribed enhancers (TrEns) play important roles in the initiation of gene expression and maintenance of gene expression levels in a spatiotemporal manner. One of the most challenging...
6.
Olayan R, Ashoor H, Bajic V
Bioinformatics
. 2018 Jun;
34(21):3779.
PMID: 29917050
No abstract available.
7.
Khamis A, Motwalli O, Oliva R, Jankovic B, Medvedeva Y, Ashoor H, et al.
Nucleic Acids Res
. 2018 Apr;
46(12):e72.
PMID: 29617876
Identifying transcription factor (TF) binding sites (TFBSs) is important in the computational inference of gene regulation. Widely used computational methods of TFBS prediction based on position weight matrices (PWMs) usually...
8.
Olayan R, Ashoor H, Bajic V
Bioinformatics
. 2017 Nov;
34(7):1164-1173.
PMID: 29186331
Motivation: Finding computationally drug-target interactions (DTIs) is a convenient strategy to identify new DTIs at low cost with reasonable accuracy. However, the current DTI prediction methods suffer the high false...
9.
de Rie D, Abugessaisa I, Alam T, Arner E, Arner P, Ashoor H, et al.
Nat Biotechnol
. 2017 Aug;
35(9):872-878.
PMID: 28829439
MicroRNAs (miRNAs) are short non-coding RNAs with key roles in cellular regulation. As part of the fifth edition of the Functional Annotation of Mammalian Genome (FANTOM5) project, we created an...
10.
Ashoor H, Louis-Brennetot C, Janoueix-Lerosey I, Bajic V, Boeva V
Nucleic Acids Res
. 2017 Jan;
45(8):e58.
PMID: 28053124
Comparing histone modification profiles between cancer and normal states, or across different tumor samples, can provide insights into understanding cancer initiation, progression and response to therapy. ChIP-seq histone modification data...