TAMdata: N-glycan abundance measures in primary mammary and secondary...

In cammiller/imagingPC: Analysis of Imaging Mass Spectrometry Data using a Process Convolution Approach

Description

A dataset containing area under the curve (AUC) abundance measures for 50 N-glycans.

Usage

TAMdata

Format

A dataframe with 18,154 rows and 59 columns.

Spot.index

A numeric identifier for each spot or raster.

x

The x-coordinate of each spot.

y

The y-coordinate of each spot.

subject

A numeric subject identifier.

ROI

A numeric identifier for the region of interest (ROI)

slide

A numeric identifier indicating samples that were run on the same slide.

secondary

A sample-level binary variable that takes on a value of 0 if the sample was resected from primary mammary tissue and a value of 1 if the sample was resected from secondary lung tissue.

TAM

A spot-level binary variable indicating whether the spot stained postive (TAM=1) or negative (TAM=0) for tumor-associated macrophages (TAMs).

meanTAM

A spot-level numeric variable on a 0-1 scale that indicates the proportion of pixels (from a corresponding scanned image) within the bounds of the corresponding spot that stained positive for TAMs.

X771.auc

The relative abundance, as measured by AUC, of a fragment with an m/z of approximately 771.

X__.auc

The relative abundance, as measured by AUC, of a fragment with an m/z given by __.

cammiller/imagingPC documentation built on June 28, 2019, 12:04 a.m.