Ghislain Durif
Ghislain Durif
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A Wilcoxon-Mann-Whitney spatial scan statistic for functional data
A nonparametric scan method for functional data indexed in space is introduced. The associated scan statistic is derived from the …
Zaineb Smida
,
Lionel Cucala
,
Ali Gannoun
,
Ghislain Durif
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DECONbench: a benchmarking platform dedicated to deconvolution methods for tumor heterogeneity quantification
Quantification of tumor heterogeneity is essential to better understand cancer progression and to adapt therapeutic treatments to …
Clémentine Decamps
,
Alexis Arnaud
,
Florent Petitprez
,
Mira Ayadi
,
Aurélia Baurès
,
Lucile Armenoult
,
Hadaca Consortium
,
Sergio Escalera
,
Isabelle Guyon
,
Rémy Nicolle
,
Richard Tomasini
,
Aurélien de Reyniès
,
Jérôme Cros
,
Yuna Blum
,
Magali Richard
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Divergent clonal differentiation trajectories establish CD8+ memory T~cell heterogeneity during acute viral infections in humans
The CD8+ T cell response to an antigen is composed of many T cell clones with unique T cell receptors, together forming a heterogeneous …
Jeff E. Mold
,
Laurent Modolo
,
Joanna Hård
,
Margherita Zamboni
,
Anton J. M. Larsson
,
Moa Stenudd
,
Carl-Johan Eriksson
,
Ghislain Durif
,
Patrik L. Ståhl
,
Erik Borgström
,
Simone Picelli
,
Björn Reinius
,
Rickard Sandberg
,
Pedro Réu
,
Carlos Talavera-Lopez
,
Björn Andersson
,
Kim Blom
,
Johan K. Sandberg
,
Franck Picard
,
Jakob Michaelsson
,
Jonas Frisén
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BiorXiv
Guidelines for cell-type heterogeneity quantification based on a comparative analysis of reference-free DNA methylation deconvolution software
Cell-type heterogeneity of tumors is a key factor in tumor progression and response to chemotherapy. Tumor cell-type heterogeneity, …
Clémentine Decamps
,
Florian Privé
,
Raphael Bacher
,
Daniel Jost
,
Arthur Waguet
,
Hadaca Consortium
,
Eugene Andres Houseman
,
Eugene Lurie
,
Pavlo Lutsik
,
Aleksandar Milosavljevic
,
Michael Scherer
,
Michael Blum
,
Magali Richard
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Dimension reduction for Single Cell Expression Data Analysis
Seminar of the Chromatin and cell biology team, Institute of Human Genetics
(IGH)
, Montpellier (France)
Nov 20, 2019 09:30 — 09:30
Ghislain Durif
Probabilistic Count Matrix Factorization for Single Cell Expression Data Analysis
Motivation: The development of high throughput single-cell sequencing technologies now allows the investigation of the population …
Ghislain Durif
,
Laurent Modolo
,
Jeff E. Mold
,
Sophie Lambert-Lacroix
,
Franck Picard
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arXiv
software
Probabilistic Count Matrix Factorization for Single Cell Expression Data Analysis
Montpellier Bio-Informatics (MBI) meeting, Genopolys, Montpellier (France)
Sep 24, 2019 14:00 — 15:00
Genopolys, Montpellier (France)
Ghislain Durif
,
Laurent Modolo
,
Jakob Michaelsson
,
Jeff E. Mold
,
Sophie Lambert-Lacroix
,
Franck Picard
Probabilistic Count Matrix Factorization for Single Cell Expression Data Analysis
Single-cell RNA-seq Day, INSA Toulouse, Toulouse (France)
Jul 4, 2019 13:30 — 14:30
Toulouse (France)
Ghislain Durif
,
Laurent Modolo
,
Jakob Michaelsson
,
Jeff E. Mold
,
Sophie Lambert-Lacroix
,
Franck Picard
Sparsity and dimension reduction
Bordeaux Data Science conference, Bordeaux (France)
Apr 4, 2019 12:30 — 13:30
Bordeaux (France)
Ghislain Durif
Multivariate analysis of single cell genomic expression data
Paris Single Cell Day (PASIC) 2018,
Muséum National d’Histoire Naturelle de Paris
, Paris (France)
Oct 4, 2018 13:00
Muséum National d'Histoire Naturelle de Paris, Paris (France)
Ghislain Durif
,
Laurent Modolo
,
Jakob Michaelsson
,
Jeff E. Mold
,
Sophie Lambert-Lacroix
,
Franck Picard
»
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