FilterData: Filter data by minimum cells, minimum genes, and winsorizes...

In yanwu2014/swne: Similarity Weighted Nonnegative Embedding: A method for visualizing high dimensional datasets

Filter data by minimum cells, minimum genes, and winsorizes data

Description

Filter data by minimum cells, minimum genes, and winsorizes data

Usage

FilterData(
  x,
  min.samples.frac,
  trim,
  min.nonzero.features = 500,
  max.sample.sum = 50000
)

Arguments

x	Input matrix
min.samples.frac	Minimum number of samples for a feature to be included
trim	Fraction of samples to winsorize if trim < 1. If trim > 1, absolute number of samples to winsorize
min.nonzero.features	Minimum number of nonzero features for a sample to be included
max.sample.sum	Samples with greater than this sum of features will be excluded

Value

Filtered and winsorized data matrix

yanwu2014/swne documentation built on Aug. 5, 2023, 4:42 a.m.