Author

Lars Christoffersen

University of CopenhagenORCID 0000-0002-3065-9610Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 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 Assay:scRNA-seq· 1

Frequent Co-Authors

Andrea CavalliiD· 1 shared Anna A. IgolkinaiD· 1 shared Konstantin V. KhodosevichiD· 1 shared Kresten Lindorff‐LarseniD· 1 shared Maher M. Kassem· 1 shared Peter V. KharchenkoiD· 1 shared Rasmus RydbirkiD· 1 shared Shenglin MeiiD· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 18 mutual co-author links

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1 shared paperBioinformatics

Andrea CavalliORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMar 15, 2022

Case-control analysis of single-cell RNA-seq studies

Viktor Petukhov, Anna A. Igolkina, Rasmus Rydbirk…·Peter V. Kharchenko

Cacoa packages statistical tests, exploration and plots for comparing groups of scRNA-seq samples, aimed at inter-individual variability, small cohorts and high-dimensional data.

57 citations

scRNA-seqstatistical model

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