LM22

A dataset containing 547 genes and 22 TILs.

datasets

Using the idea of least trimmed square, it could automatically detects and removes outliers from data before estimating the coefficients. It is a robust machine learning tool which can be applied to gene-expression deconvolution technique. Yuning Hao, Ming Yan, Blake R. Heath, Yu L. Lei and Yuying Xie (2019) <doi:10.1101/358366>.

Yuying Xie

FARDEEP

Fast and Robust Deconvolution of Tumor Infiltrating Lymphocyte
from Expression Profiles using Least Trimmed Squares

Yuning Hao

Ming Yan

Blake R. Heath

Yu L. Lei

LM22 function

A data frame with 547 rows and 22 variables:<dl class="dl-horizontal">
 <dt>B.cells.naive</dt><dd>naive B cells</dd>
 <dt>B.cells.memory</dt><dd>memory B cells</dd>
 <dt>Plasma.cells</dt><dd>Plasma cells</dd>
 <dt>T.cells.CD8</dt><dd>CD8 T cells</dd>
 <dt>T.cells.CD4.naive</dt><dd>naive CD4 T cells</dd>
 <dt>T.cells.CD4.memory.resting</dt><dd>resting memory CD4 T cells</dd>
 <dt>T.cells.CD4.memory.activated</dt><dd>activated memory CD4 T cells</dd>
 <dt>T.cells.follicular.helper</dt><dd>follicular helper T cells</dd>
 <dt>T.cells.regulatory.Tregs.</dt><dd>regulatory T cells</dd>
 <dt>T.cells.gamma.delta</dt><dd>gamma delta T cells</dd>
 <dt>NK.cells.resting</dt><dd>resting natural killer cells</dd>
 <dt>NK.cells.activated</dt><dd>activated natural killer cells</dd>
 <dt>Monocytes</dt><dd>monocytes</dd>
 <dt>Macrophages.M0</dt><dd>M0 macrophages</dd>
 <dt>Macrophages.M1</dt><dd>M1 macrophages</dd>
 <dt>Macrophages.M2</dt><dd>M2 macrophages</dd>
 <dt>Dendritic.cells.resting</dt><dd>resting dendritic cells</dd>
 <dt>Dendritic.cells.activated</dt><dd>activated dendritic cells</dd>
 <dt>Mast.cells.resting</dt><dd>resting mast cells</dd>
 <dt>Mast.cells.activated</dt><dd>activated mast cells</dd>
 <dt>Eosinophils</dt><dd>eosinophils</dd>
 <dt>Neutrophils</dt><dd>neutrophils</dd>
</dl>

Format

Siganature matrix — LM22

A data frame with 547 rows and 22 variables:<dl class='dl-horizontal'>
 <dt>B.cells.naive</dt><dd>naive B cells</dd>
 <dt>B.cells.memory</dt><dd>memory B cells</dd>
 <dt>Plasma.cells</dt><dd>Plasma cells</dd>
 <dt>T.cells.CD8</dt><dd>CD8 T cells</dd>
 <dt>T.cells.CD4.naive</dt><dd>naive CD4 T cells</dd>
 <dt>T.cells.CD4.memory.resting</dt><dd>resting memory CD4 T cells</dd>
 <dt>T.cells.CD4.memory.activated</dt><dd>activated memory CD4 T cells</dd>
 <dt>T.cells.follicular.helper</dt><dd>follicular helper T cells</dd>
 <dt>T.cells.regulatory.Tregs.</dt><dd>regulatory T cells</dd>
 <dt>T.cells.gamma.delta</dt><dd>gamma delta T cells</dd>
 <dt>NK.cells.resting</dt><dd>resting natural killer cells</dd>
 <dt>NK.cells.activated</dt><dd>activated natural killer cells</dd>
 <dt>Monocytes</dt><dd>monocytes</dd>
 <dt>Macrophages.M0</dt><dd>M0 macrophages</dd>
 <dt>Macrophages.M1</dt><dd>M1 macrophages</dd>
 <dt>Macrophages.M2</dt><dd>M2 macrophages</dd>
 <dt>Dendritic.cells.resting</dt><dd>resting dendritic cells</dd>
 <dt>Dendritic.cells.activated</dt><dd>activated dendritic cells</dd>
 <dt>Mast.cells.resting</dt><dd>resting mast cells</dd>
 <dt>Mast.cells.activated</dt><dd>activated mast cells</dd>
 <dt>Eosinophils</dt><dd>eosinophils</dd>
 <dt>Neutrophils</dt><dd>neutrophils</dd>
</dl>

LM22: Siganature matrix

Description

Usage

Arguments

Format

References