Author

Marcel Turcotte

University of OttawaORCID 0000-0002-4877-1029Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:ChIP-seq· 2 Approach:deep learning· 2 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:protein sequence· 1

Frequent Co-Authors

Aseel AwdehiD· 2 shared Theodore J. PerkinsiD· 2 shared M. Hamed MozaffariiD· 1 shared Md. Aminur Rab Ratul· 1 shared WonSook Lee· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 4 mutual co-author links

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2 shared papersBioinformatics

Aseel AwdehORCID

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3 papers

Recent·Most cited

Cell Type Specific DNA Signatures of Transcription Factor Binding

Aseel Awdeh, Marcel Turcotte, Theodore J. Perkins

The paper introduces SigTFB, a deep learning method to detect cell type specificity in TF DNA-binding signatures, finding 30% of TFs show such specificity.

bioRxiv · Jul 15, 2022 · PreprintBioinformatics

WACS: Improving Peak Calling by Optimally Weighting Controls

Aseel Awdeh, Marcel Turcotte, Theodore J. Perkins

WACS improves ChIP-seq peak calling by optimally weighting controls to better model noise distribution, enhancing motif enrichment and reproducibility compared to existing methods.

BMC Bioinformatics · Feb 15, 2021Peer-reviewedBioinformatics

Prediction of 8-state protein secondary structures by 1D-Inception and BD-LSTM

Md. Aminur Rab Ratul, Marcel Turcotte, M. Hamed Mozaffari, WonSook Lee

This paper introduces two deep learning models, 1D-Inception and BD-LSTM, for predicting 8-state protein secondary structures, achieving high Q8 accuracy on benchmark datasets.

bioRxiv · Dec 12, 2019 · PreprintBioinformatics