@leland_mcinnes @gringene_bio @tomkXY Here's some more details and motivating plots: https://t.co/bLPUCgNwC8 The original paper for this series of software has a section "Variance-stabilizing transformation": https://t.co/N4VaP75IVn
@kieranrcampbell @vallens The original DESeq paper (https://t.co/eRr3JSt9bn) has some discussion on this.
@arjunrajlab ...and DESeq paper does analogous for Gamma-Poisson (neg.binomial) error model: https://t.co/VbqwKKBKM7 https://t.co/RRGq3m98e5
RT @lpachter: @notSoJunkDNA A good explanation but part of the confusion has been the use of "library size" to denote sequencing depth, as…
RT @lpachter: @notSoJunkDNA A good explanation but part of the confusion has been the use of "library size" to denote sequencing depth, as…
RT @lpachter: @notSoJunkDNA A good explanation but part of the confusion has been the use of "library size" to denote sequencing depth, as…
@notSoJunkDNA A good explanation but part of the confusion has been the use of "library size" to denote sequencing depth, as in https://t.co/RBKVXKlekl
@mikelove Thanks for the props! Are you not seeing this as the first reference? https://t.co/PT8xoWTpYp
RT @IanDworkin: The original deseq paper makes this argument. http://t.co/e5uZ8ikx7K @aemonten @macmanes
The original deseq paper makes this argument. http://t.co/e5uZ8ikx7K @aemonten @macmanes
Differential expression analysis for sequence count data http://t.co/PwgIoloq