Author

Ian Richard Thompson

Hamad bin Khalifa UniversityORCID 0000-0002-9554-550XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 4 Approach:statistical model· 4 Research Focus:differential expression· 3 Research Focus:gene regulatory network inference· 3 Organism:human· 3 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1

Frequent Co-Authors

Mohammad Mahdi KarimiiD· 3 shared Ghulam Jeelani MuftiiD· 2 shared Nogayhan SeymeniD· 2 shared Sıla GerlevikiD· 2 shared Warisha Mumtaz· 2 shared Alfredo IacoangeliiD· 1 shared Andrea PellagattiiD· 1 shared Artem BabaianiD· 1 shared

Activity by Year

2017-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersGenomics

Mohammad Mahdi KarimiORCID

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Author profile →

4 papers

Recent·Most cited

Expression of Most Retrotransposons in Human Blood Correlates with Biological Aging

Yi-Ting Tsai, Nogayhan Seymen, Ian Richard Thompson, Xinchen Zou, Warisha Mumtaz, Sıla Gerlevik, Ghulam Jeelani Mufti, Mohammad Mahdi Karimi

The paper examines RTE expression and methylation in human blood, finding correlations with biological aging but not chronological age, and identifies potential mechanisms and cell types involved.

eLife · Oct 17, 2024Peer-reviewedGenomics

Identification of novel myelodysplastic syndromes prognostic subgroups by integration of inflammation, cell-type composition, and immune signatures in the bone marrow

Sıla Gerlevik, Nogayhan Seymen, Shan Hama, Warisha Mumtaz, Ian Richard Thompson, Seyed R Jalili, Deniz Ece Kaya, Alfredo Iacoangeli, Andrea Pellagatti, Jacqueline Boultwood, Giorgio Napolitani, Ghulam Jeelani Mufti, Mohammad Mahdi Karimi

The paper integrates inflammation, cell-type composition, and immune signatures in MDS to identify prognostic subgroups using MOFA, finding that high inflammation correlates with better prognosis while SRSF2 mutations are linked to poor outcomes.

eLife · Sep 5, 2024Peer-reviewedGenomics

LIONS: Analysis Suite for Detecting and Quantifying Transposable Element Initiated Transcription from RNA-seq

Artem Babaian, Ian Richard Thompson, Jake Lever, Liane Gagnier, Mohammad Mahdi Karimi, Dixie L. Mager

LIONS detects and quantifies TE-initiated transcripts from RNA-seq data by addressing computational limitations in TE transcription analysis.

Bioinformatics · Feb 19, 2019Peer-reviewedBioinformatics

Integrative Statistical Inferences for Drug Sensitivity Biomarkers in Cancer

Ehsan Ullah, Saila Shama, Noora Al Muftah, Ian Richard Thompson, Reda Rawi, Raghvendra Mall, Halima Bensmail

The paper identifies cancer gene biomarkers associated with drug sensitivity and provides open-source tools for analysis.

bioRxiv · Sep 27, 2017 · PreprintGenomics