get_sam4grp: generate tibble of library IDs according to the groups to be compared for DEG analysis
get_compdf: wrapper using get_sam4grp to generate all pairwise or one-vs-all comparisons
get_deg_EdgeR: generate DEG output with EdgeR
get_deg_Deseq2: generate DEG output with DESeq2
fgseaWrap: wrapper to run fgsea
DEG_fgsea_Wrap: wrapper to run DESeq2 and fgsea
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 | get_sam4grp(metadf, feat.coln, group1, group2, sample.coln, sep.grp = "+")
get_compdf(metadf, feat.coln, sample.coln, comp = "1vA", sep.grp = "+")
fgseaWrap(
fn.gmt,
ID.gene,
stat.gene,
nperm = 1000,
minSize = 20,
maxSize = 500,
n.top = 10,
fn.outp = NULL,
dir.outp = NULL,
outp.return = F
)
get_deg_EdgeR(
countMat,
name.feature,
name.group1,
name.group2,
samID.grp1,
samID.grp2,
f.design = NULL,
metadf = NULL,
samID.coln = NULL,
deseq.coln.trans = T,
df.gene.anno = NULL,
dir.outp = NULL,
fn.outp = NULL
)
get_deg_Deseq2(
countMat,
name.feature,
name.group1,
name.group2,
samID.grp1,
samID.grp2,
f.design = NULL,
metadf = NULL,
samID.coln = NULL,
outpdir = NULL
)
DEG_fgsea_Wrap(
countMat,
name.feature,
name.group1,
name.group2,
samID.grp1,
samID.grp2,
fn.gmt,
f.design = NULL,
metadf = NULL,
samID.coln = NULL,
outpdir = NULL
)
|
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