multi.id.curate.qp: Multi-ID Score-Based Filter

In morris-lab/Capybara: A tool to measure cell identity and fate transitions

Multi-ID Score-Based Filter

Description

This function filters the multiple identity cells based on their QP scores, where we assume that a low QP score (less than 10E-3) are not a true identity to consider

Usage

multi.id.curate.qp(
  binary.counts,
  classification,
  qp.matrix,
  qp.threshold = 10^-3
)

Arguments

binary.counts	The binary count matrix, which is the output from binarization with Mann Whitney.
classification	The classification result, which is the output from binary to classification.
qp.matrix	The matrix that contains QP scores calculated for the sample cells
qp.threshold	The threshold to cut off for the QP scores in the multiple identity listed cells

Value

A list contain 2 elements, the first is the curated and filtered multiple identity data frame and the second is the new classification data frame.

Examples

multi.id.curate.qp(multi.id.meta)

morris-lab/Capybara documentation built on June 13, 2022, 10:33 p.m.