单细胞文献
-
https://www.frontiersin.org/articles/10.3389/fnins.2021.591122/full
Single-Cell Transcriptomics: Current Methods and Challenges in Data Acquisition and Analysis -
https://www.sciencedirect.com/science/article/pii/S245231001730077X
Single cells make big data: New challenges and opportunities in transcriptomics -
https://sci-hub.st/10.1002/widm.1414
Big data analytics in single-cell transcriptomics: Five grand
opportunities -
https://www.ncbi.nlm.nih.gov/labs/pmc/articles/PMC4758103/
Classification of low quality cells from single-cell RNA-seq data -
https://www.frontiersin.org/articles/10.3389/fgene.2020.00041/full
Normalization Methods on Single-Cell RNA-seq Data: An Empirical Survey -
https://www.sciencedirect.com/science/article/pii/S2405471219300808
Performance Assessment and Selection of Normalization Procedures for Single-Cell RNA-Seq -
https://academic.oup.com/nar/article/48/W1/W403/5843818
ASAP 2020 update: an open, scalable and interactive web-based portal for (single-cell) omics analyses -
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391988/
Comparison of visualization tools for single-cell RNAseq data -
https://www.nature.com/articles/s12276-020-0409-x
An era of single-cell genomics consortia