Further reading¶

Shalek AK, Benson M. Single-cell analyses to tailor treatments. Sci Transl Med. 2017 Sep 20;9(408):eaan4730. doi: 10.1126/scitranslmed.aan4730. PMID: 28931656; PMCID: PMC5645080.

Svensson V, Vento-Tormo R, Teichmann SA. Exponential scaling of single-cell RNA-seq in the past decade. Nat Protoc. 2018 Apr;13(4):599-604. doi: 10.1038/nprot.2017.149. Epub 2018 Mar 1. PMID: 29494575.

Ilicic T, Kim JK, Kolodziejczyk AA, Bagger FO, McCarthy DJ, Marioni JC, Teichmann SA. Classification of low quality cells from single-cell RNA-seq data. Genome Biol. 2016 Feb 17;17:29. doi: 10.1186/s13059-016-0888-1. PMID: 26887813; PMCID: PMC4758103.

Lun AT, McCarthy DJ, Marioni JC. A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor. F1000Res. 2016 Aug 31;5:2122. doi: 10.12688/f1000research.9501.2. PMID: 27909575; PMCID: PMC5112579.

Perraudeau F, Risso D, Street K, Purdom E, Dudoit S. Bioconductor workflow for single-cell RNA sequencing: Normalization, dimensionality reduction, clustering, and lineage inference. F1000Res. 2017 Jul 21;6:1158. doi: 10.12688/f1000research.12122.1. PMID: 28868140; PMCID: PMC5558107.

Bacher R. Normalization for Single-Cell RNA-Seq Data Analysis. Methods Mol Biol. 2019;1935:11-23. doi: 10.1007/978-1-4939-9057-3_2. PMID: 30758817.

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