Author

Maher M. Kassem

University of Copenhagen

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Biology Disciplines

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Bioinformatics· 1

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Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

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Andrea CavalliiD· 1 shared Kresten Lindorff‐LarseniD· 1 shared Lars ChristofferseniD· 1 shared

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2018-2018 · peak 1/yr

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1 shared paperBioinformatics

Andrea CavalliORCID

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1 paper

Recent·Most cited

BioinformaticsScientific ReportsPeer-reviewedJul 18, 2018

Enhancing coevolution-based contact prediction by imposing structural self-consistency of the contacts

Maher M. Kassem, Lars Christoffersen, Andrea Cavalli, Kresten Lindorff‐Larsen

CE-YAPP improves contact prediction by filtering false positives using structural self-consistency, enhancing accuracy in protein structure prediction from multiple sequence alignments.

3 citations

protein sequencedeep learning

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