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Project
Statistical inference for differential analysis in single cell transcriptomics
Information
Project Team
Outputs and Outcomes
Publications
Trajectory inference across multiple conditions with condiments
Hector Roux de Bézieux
Koen Van den Berge
Kelly Street
Sandrine Dudoit
A1
Journal Article
in
NATURE COMMUNICATIONS
2024
msqrob2PTM : differential abundance and differential usage analysis of MS-based proteomics data at the post-translational modification and peptidoform level
Nina Demeulemeester
Marie Gébelin
Lucas Caldi Gomes
Paul Lingor
Christine Carapito
Lennart Martens
Lieven Clement
A1
Journal Article
in
MOLECULAR & CELLULAR PROTEOMICS
2024
Quality control for the target decoy approach for peptide identification
Elke Debrie
Milan Malfait
Ralf Gabriels
Arthur Declercq
Adriaan Sticker
Lennart Martens
Lieven Clement
A1
Journal Article
in
JOURNAL OF PROTEOME RESEARCH
2023
A guide to trajectory inference and RNA velocity
Philipp Weiler
Koen Van den Berge
Kelly Street
Simone Tiberi
Bookchapter
in
Single cell transcriptomics : methods and protocols
2022
Normalization benchmark of ATAC-seq datasets shows the importance of accounting for GC-content effects
Koen Van den Berge
Hsin-Jung Chou
Hector Roux de Bézieux
Kelly Street
Davide Risso
John Ngai
Sandrine Dudoit
A2
Journal Article
in
CELL REPORTS METHODS
2022
satuRn: Scalable analysis of differential transcript usage for bulk and single-cell RNA-sequencing applications
Jeroen Gilis
Kristoffer Vitting-Seerup
Koen Van den Berge
Lieven Clement
A2
Journal Article
in
F1000RESEARCH
2021
Trajectory-based differential expression analysis for single-cell sequencing data
Koen Van den Berge
Hector Roux de Bézieux
Kelly Street
Wouter Saelens
Robrecht Cannoodt
Yvan Saeys
Sandrine Dudoit
Lieven Clement
A1
Journal Article
in
NATURE COMMUNICATIONS
2020