QIAGEN OmicSoft and Biomedical Knowledge Base

Subgroup sample expression data by multiple variables

110 views
April 08, 2020
In OncoLand, each sample can be grouped by extensive metadata, including clinical metadata such as clinical calls of receptor expression by immunohistochemistry. You can quickly partition a gene's expression by each permutation of multiple clinical variables to identify combinations (such as triple-negative breast cancer samples) that are significantly different.

Related videos

QIAGEN OmicSoft and Biomedical Knowledge Base

Identify associations between clinical variables

210 views May 08, 2019

To explore how a gene's expression level (or mutation, copy number, etc)...

QIAGEN OmicSoft and Biomedical Knowledge Base

Explore how gene mutations correlate with clinical variables

170 views May 08, 2019

To explore how a mutation in a gene correlates with clinical metadata, you...

QIAGEN OmicSoft and Biomedical Knowledge Base

Identify mutation hotspots in a gene of interest

306 views May 08, 2019

In several cancers, IDH1 is frequently mutated at arginine 132, which alters...

QIAGEN OmicSoft and Biomedical Knowledge Base

Identify other genes that are co-mutated with your gene of interest

266 views May 08, 2019

A SampleSet can be used to identify the gene(s) that tend to be mutated in...