bayNorm: Bayesian gene expression recovery, imputation and normalization for single-cell RNA-sequencing data
Motivation Normalization of single-cell RNA-sequencing (scRNA-seq) data is a prerequisite
to their interpretation. The marked technical variability, high amounts of missing …
to their interpretation. The marked technical variability, high amounts of missing …
[PDF][PDF] bayNorm: Bayesian gene expression recovery, imputation and normalization for single-cell RNA-sequencing data
W Tang, F Bertaux, P Thomas, C Stefanelli… - …, 2020 - pdfs.semanticscholar.org
Motivation: Normalization of single-cell RNA-sequencing (scRNA-seq) data is a prerequisite
to their interpretation. The marked technical variability, high amounts of missing …
to their interpretation. The marked technical variability, high amounts of missing …
[HTML][HTML] bayNorm: Bayesian gene expression recovery, imputation and normalization for single-cell RNA-sequencing data
W Tang, F Bertaux, P Thomas, C Stefanelli, M Saint… - …, 2020 - ncbi.nlm.nih.gov
Results Here, we introduce bayNorm, a novel Bayesian approach for scaling and inference
of scRNA-seq counts. The method's likelihood function follows a binomial model of mRNA …
of scRNA-seq counts. The method's likelihood function follows a binomial model of mRNA …
[PDF][PDF] bayNorm: Bayesian gene expression recovery, imputation and normalisation for single cell RNA-sequencing data
W Tang, F Bertaux, P Thomas, C Stefanelli, M Saint… - scholar.archive.org
Introduction scRNA-seq is a method of choice for profiling gene expression heterogeneity
genome-wide across tissues in health and disease1, 2. Because it relies on the detection of …
genome-wide across tissues in health and disease1, 2. Because it relies on the detection of …
bayNorm: Bayesian gene expression recovery, imputation and normalization for single-cell RNA-sequencing data
W Tang, F Bertaux, P Thomas, C Stefanelli… - …, 2020 - discovery.ucl.ac.uk
Motivation: Normalization of single-cell RNA-sequencing (scRNA-seq) data is a prerequisite
to their interpretation. The marked technical variability, high amounts of missing …
to their interpretation. The marked technical variability, high amounts of missing …
bayNorm: Bayesian gene expression recovery, imputation and normalization for single-cell RNA-sequencing data
W Tang, F Bertaux, P Thomas, C Stefanelli, M Saint… - Bioinformatics, 2019 - cir.nii.ac.jp
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Normalization of single-cell RNA-sequencing (scRNA-seq) data is a prerequisite to their …
Normalization of single-cell RNA-sequencing (scRNA-seq) data is a prerequisite to their …
bayNorm: Bayesian gene expression recovery, imputation and normalization for single-cell RNA-sequencing data.
W Tang, F Bertaux, P Thomas, C Stefanelli… - …, 2020 - search.ebscohost.com
Motivation Normalization of single-cell RNA-sequencing (scRNA-seq) data is a prerequisite
to their interpretation. The marked technical variability, high amounts of missing …
to their interpretation. The marked technical variability, high amounts of missing …
[PDF][PDF] bayNorm: Bayesian gene expression recovery, imputation and normalisation for single cell RNA-sequencing data
W Tang, F Bertaux, P Thomas, C Stefanelli, M Saint… - academia.edu
Introduction scRNA-seq is a method of choice for profiling gene expression heterogeneity
genome-wide across tissues in health and disease1, 2. Because it relies on the detection of …
genome-wide across tissues in health and disease1, 2. Because it relies on the detection of …
bayNorm: Bayesian gene expression recovery, imputation and normalization for single-cell RNA-sequencing data.
W Tang, F Bertaux, P Thomas, C Stefanelli… - Bioinformatics (Oxford …, 2020 - europepmc.org
Results Here, we introduce bayNorm, a novel Bayesian approach for scaling and inference
of scRNA-seq counts. The method's likelihood function follows a binomial model of mRNA …
of scRNA-seq counts. The method's likelihood function follows a binomial model of mRNA …
bayNorm: Bayesian gene expression recovery, imputation and normalisation for single cell RNA-sequencing data
W Tang, F Bertaux, P Thomas, C Stefanelli, M Saint… - bioRxiv, 2018 - biorxiv.org
Normalisation of single cell RNA sequencing (scRNA-seq) data is a prerequisite to their
interpretation. The marked technical variability and high amounts of missing observations …
interpretation. The marked technical variability and high amounts of missing observations …