From 8f1c28147f20745bc9826ba97cfb0504a13e61aa Mon Sep 17 00:00:00 2001 From: David Knowles Date: Wed, 2 Aug 2017 16:22:19 -0700 Subject: [PATCH] Move logo --- README.md | 2 +- leafcutter/R/differential_splicing.R | 1 + leafcutter/man/differential_splicing.Rd | 2 + logo.png | Bin 97897 -> 0 bytes logo.svg | 450 ------------------------ 5 files changed, 4 insertions(+), 451 deletions(-) delete mode 100644 logo.png delete mode 100644 logo.svg diff --git a/README.md b/README.md index cccc123..354acfb 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # leafcutter - **Annotation-free quantification of RNA splicing.** + **Annotation-free quantification of RNA splicing.** *Yang I Li, David A Knowles, Jonathan K Pritchard.* diff --git a/leafcutter/R/differential_splicing.R b/leafcutter/R/differential_splicing.R index 6db95fe..997fba9 100644 --- a/leafcutter/R/differential_splicing.R +++ b/leafcutter/R/differential_splicing.R @@ -44,6 +44,7 @@ leaf_cutter_effect_sizes=function(results) { #' #' @param counts An [introns] x [samples] matrix of counts. The rownames must be of the form chr:start:end:cluid. If the counts file comes from the leafcutter clustering code this should be the case already. #' @param x A [samples] numeric vector, should typically be 0s and 1s, although in principle scaling shouldn't matter. +#' @param confounders A [samples] x [confounders] numeric matrix to be controlled for in the GLM. Factors should already have been converted to a 1-of-(K-1) encoding, e.g. using model.matrix (see scripts/leafcutter_ds.R for how to do this). Can be NULL, implying no covariates are controlled for. #' @param max_cluster_size Don't test clusters with more introns than this #' @param min_samples_per_intron Ignore introns used (i.e. at least one supporting read) in fewer than n samples #' @param min_samples_per_group Require this many samples in each group to have at least min_coverage reads diff --git a/leafcutter/man/differential_splicing.Rd b/leafcutter/man/differential_splicing.Rd index bd8ca2f..1d20156 100644 --- a/leafcutter/man/differential_splicing.Rd +++ b/leafcutter/man/differential_splicing.Rd @@ -13,6 +13,8 @@ differential_splicing(counts, x, confounders = NULL, max_cluster_size = 10, \item{x}{A [samples] numeric vector, should typically be 0s and 1s, although in principle scaling shouldn't matter.} +\item{confounders}{A [samples] x [confounders] numeric matrix to be controlled for in the GLM. Factors should already have been converted to a 1-of-(K-1) encoding, e.g. using model.matrix (see scripts/leafcutter_ds.R for how to do this). Can be NULL, implying no covariates are controlled for.} + \item{max_cluster_size}{Don't test clusters with more introns than this} \item{min_samples_per_intron}{Ignore introns used (i.e. at least one supporting read) in fewer than n samples} diff --git a/logo.png b/logo.png deleted file mode 100644 index 0698f04effe6b37b99a5e910f4214ba153fded8e..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 97897 zcmXtf1yoes_x30f5+dCo-8pm$jC4szHw@Cp?vvy<(4br0(?l|^hv`>#TM%1YUp4Ja&>iOF}JaFG&Zy|WwCWI zOFa=J1c5$)q#>fJZfQr$?n!CA>9qg!AuWNqrcU>QO z^o_U~3N^Fk9rwB2%=edPnl;rgUvJp#xkP{Us$4v=F<)9nKo#!5z9Ij(hl| zy-gi*M5acq+LSv~RL^j6e=D1uV7pbGGo#b*eADYmSM`SMrS`&m1Kx8g3gpzI1(DdX;1p=Pt4h) zQWzzV6-78cS^K^RDPBkUvwM0Om z4l9STXG1s;NUol%_)BP3^vs2Lu-AkFE_$Iq(RS4j%|2PZ53xNB6n(89u({c7l4vf( z=>y1ey5n5Tr zuRfl*QX9){^GFnAj>lYEz0rtOEh` z&HTT$aW;A1=}VX#jYotub#S(1wU8UV#lYlodyg!=w3de%mW1J4%GOLro)iDQ<~56V zX;+e|RGi5l{W=rLIMm={%1-`>rY|5+!8;^?t9CR=o4iJ(F%#Mh$>te6T@i)@erzRg 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