Inferring cellular heterogeneity with mixture models for DNA methylation rates (SMPGD 2026)
Authors
Hugo Barbot
Yuna Blum
David Causeur
Magali Richard
Institutions
Laboratoire d'Informatique de Grenoble (FR)
Institut de génétique et de développement de Rennes (FR)
Institut de recherche mathématique de Rennes (FR)
Publication Details
Journal
SPIRE - Sciences Po Institutional REpository
Published
2026-01-29
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
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article
Inferring cellular heterogeneity with mixture models for DNA methylation rates (SMPGD 2026)
Hugo Barbot, Yuna Blum, David Causeur, Magali Richard
Journal
SPIRE - Sciences Po Institutional REpository
Topics
Epigenetics and DNA Methylation
article
Inferring cellular heterogeneity with mixture models for DNA methylation rates (SMPGD 2026)
Hugo Barbot, Yuna Blum, David Causeur, Magali Richard
article en
Abstract
No abstract available for this paper.
Publication Tag
SPIRE - Sciences Po Institutional REpository
Institutions
Laboratoire d'Informatique de Grenoble (FR), Institut de génétique et de développement de Rennes (FR), Institut de recherche mathématique de Rennes (FR)
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Inferring cellular heterogeneity with mixture models for DNA methylation rates (SMPGD 2026) — Hugo Barbot, Yuna Blum, et al. · SPIRE - Sciences Po Institutional REpository (2026) | TGRS Research Map | TGRS