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Papers: 10.1038/s41598-018-35365-9

https://doi.org/10.1038/s41598-018-35365-9

Detection of correlated hidden factors from single cell transcriptomes using Iteratively Adjusted-SVA (IA-SVA)

Cited by: 7
Author(s): Dong‐Hyung Lee, Anthony Cheng, Nathan Lawlor, Mohan Bolisetty, Duygu Ucar
Published: over 6 years ago

Software Mentions 4

bioconductor: iasva
Iteratively Adjusted Surrogate Variable Analysis
Papers that mentioned: 1
Very Likely Science (100)
bioconductor: SCnorm
Normalization of single cell RNA-seq data
Papers that mentioned: 15
Very Likely Science (100)
cran: Seurat
Tools for Single Cell Genomics
Papers that mentioned: 1,512
Very Likely Science (100)
pypi: scLVM
scLVM
Papers that mentioned: 19
Very Likely Science (100)