plotNMFCoef: Plots coef results from NMF analysis

plotNMFCoefR Documentation

Plots coef results from NMF analysis

Description

Plots coef results from NMF analysis

Usage

plotNMFCoef(
  id,
  rank,
  label_scheme_sub,
  scale_log2r,
  complete_cases,
  impute_na,
  df2,
  filepath,
  filename,
  ...
)

Arguments

id

Character string; one of pep_seq, pep_seq_mod, prot_acc and gene.

rank

Numeric vector; the factorization rank(s) in nmf. The default is c(4:8)

label_scheme_sub

A data frame. Subset entries from label_scheme for selected samples.

scale_log2r

Logical; if TRUE, adjusts log2FC to the same scale of standard deviation across all samples. The default is TRUE. At scale_log2r = NA, the raw log2FC without normalization will be used.

complete_cases

Logical; if TRUE, only cases that are complete with no missing values will be used. The default is FALSE.

impute_na

Logical; if TRUE, data with the imputation of missing values will be used. The default is TRUE.

df2

Character vector or string; the name(s) of secondary data file(s). An informatic task, i.e. anal_prnTrend(...) against a primary df generates secondary files such as Protein_Trend_Z_nclust6.txt etc. See also prnHist for the description of a primary df; normPSM for the lists of df and df2.

filepath

Use system default.

filename

A representative file name to outputs. By default, it will be determined automatically by the name of the current call.

...

filter_: Logical expression(s) for the row filtration against data in a primary file linked to df. See also normPSM for the format of filter_ statements.

arrange_: Variable argument statements for the row ordering against data in a primary file linked to df. See also prnHM for the format of arrange_ statements.

Additional arguments for nmf.


qzhang503/proteoQ documentation built on Dec. 14, 2024, 12:27 p.m.