Fanny Perraudeau
Molecular Biology · 2017
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 29 citations into it; #7,717 of 17,773 by trust here, #11,019 by citations
Whom Fanny Perraudeau trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Davide Risso
- Ludo Waltman
- Bo Li
- Johann A. Gagnon-Bartsch
- Rahul Mazumder
- Davis J. McCarthy
- Terence P. Speed
Who trusts Fanny Perraudeau overall
- Romain Lopez
- Valentine Svensson
- Malte D. Luecken
- Christoph Hafemeister
- Jeffrey C. Regier
- F. W. Townes
- Il-Youp Kwak
Papers from Fanny Perraudeau's perspective
Ordered by how strongly the researchers Fanny Perraudeau trusts endorse each paper. Same corpus, a different order for every researcher.
- Single cell RNA Seq reveals dynamic paracrine control of cellular variation (Nature)
- Normalization of RNA-seq data using factor analysis of control genes or samples (Nature Biotechnology)
- Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets
- RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome (BMC Bioinformatics)
- GC-Content Normalization for RNA-Seq Data (BMC Bioinformatics)
- Using control genes to correct for unwanted variation in microarray data. (Biostatistics)
- Low-coverage single-cell mRNA sequencing reveals cellular heterogeneity and activated signaling pathways in developing cerebral cortex (Nature Biotechnology)
- A smart local moving algorithm for large-scale modularity-based community detection (European Physical Journal B : Condensed Matter Physics)
- MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data (Genome Biology)
- Spectral Regularization Algorithms for Learning Large Incomplete Matrices
Their papers
- A general and flexible method for signal extraction from single-cell RNA-seq data (2017) — 624 citations