Interpretable factor models of single-cell RNA-seq via variational autoencoders
Motivation Single-cell RNA-seq makes possible the investigation of variability in gene
expression among cells, and dependence of variation on cell type. Statistical inference …
expression among cells, and dependence of variation on cell type. Statistical inference …
[PDF][PDF] Interpretable factor models of single-cell RNA-seq via variational autoencoders
V Svensson, L Pachter - core.ac.uk
Single cell RNA-seq makes possible the investigation of variability in gene expression
among cells, and dependence of variation on cell type. Statistical inference methods for …
among cells, and dependence of variation on cell type. Statistical inference methods for …
Interpretable factor models of single-cell RNA-seq via variational autoencoders
V Svensson, A Gayoso, N Yosef, L Pachter - Bioinformatics, 2020 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: sec>< jats: title> Motivation</jats: title>< jats: p>
Single-cell RNA-seq makes possible the investigation of variability in gene expression …
Single-cell RNA-seq makes possible the investigation of variability in gene expression …
Interpretable factor models of single-cell RNA-seq via variational autoencoders
V Svensson, A Gayoso, N Yosef… - …, 2020 - weizmann.esploro.exlibrisgroup.com
Motivation: Single-cell RNA-seq makes possible the investigation of variability in gene
expression among cells, and dependence of variation on cell type. Statistical inference …
expression among cells, and dependence of variation on cell type. Statistical inference …
Interpretable factor models of single-cell RNA-seq via variational autoencoders
V Svensson, A Gayoso, N Yosef… - …, 2020 - weizmann.elsevierpure.com
Motivation: Single-cell RNA-seq makes possible the investigation of variability in gene
expression among cells, and dependence of variation on cell type. Statistical inference …
expression among cells, and dependence of variation on cell type. Statistical inference …
Interpretable factor models of single-cell RNA-seq via variational autoencoders
V Svensson, L Pachter - bioRxiv, 2019 - biorxiv.org
Single cell RNA-seq makes possible the investigation of variability in gene expression
among cells, and dependence of variation on cell type. Statistical inference methods for …
among cells, and dependence of variation on cell type. Statistical inference methods for …
[PDF][PDF] Interpretable factor models of single-cell RNA-seq via variational autoencoders
V Svensson, A Gayoso, N Yosef… - …, 2020 - authors.library.caltech.edu
Motivation: Single-cell RNA-seq makes possible the investigation of variability in gene
expression among cells, and dependence of variation on cell type. Statistical inference …
expression among cells, and dependence of variation on cell type. Statistical inference …
[PDF][PDF] Interpretable factor models of single-cell RNA-seq via variational autoencoders
V Svensson, A Gayoso, N Yosef, L Pachter - 2020 - scholar.archive.org
Motivation: Single-cell RNA-seq makes possible the investigation of variability in gene
expression among cells, and dependence of variation on cell type. Statistical inference …
expression among cells, and dependence of variation on cell type. Statistical inference …
[PDF][PDF] Interpretable factor models of single-cell RNA-seq via variational autoencoders
V Svensson, A Gayoso, N Yosef, L Pachter - Bioinformatics, 2020 - academic.oup.com
Motivation Single-cell RNA-seq makes possible the investigation of variability in gene
expression among cells, and dependence of variation on cell type. Statistical inference …
expression among cells, and dependence of variation on cell type. Statistical inference …
Interpretable factor models of single-cell RNA-seq via variational autoencoders
V Svensson, A Gayoso, N Yosef… - …, 2020 - … .esploro.exlibrisgroup.com
Motivation: Single-cell RNA-seq makes possible the investigation of variability in gene
expression among cells, and dependence of variation on cell type. Statistical inference …
expression among cells, and dependence of variation on cell type. Statistical inference …