The Multi-Pipeline Gene Expression Analysis tool was developed as a prototype during the Bioinformatics Integration Support Contract (BISC) in 2010-2011. It was available online at the ImmPort website in an "Alpha" release until November 2013.

The tool utilizes about 300 gene expression analysis pipelines with combinations of methods for:
1. Background Correction (none, mas5, rma, DFCM, RMA-mean, RMA-75)
2. Normalization (none, constant, contrasts, quantiles, invariant set, loess)
3. Summarization (mas5, rma, farms, DFW)
4. Gene Selection (SAM, ANOVA)

Then executes K-means clustering on the significant genes, and evaluates the pipelines using the cumulative distribution funciton of the GO term co-clustering p-values. From this, the optimal microarray data workflow is chosen.

Input files are CEL files along with a CLM file, which is a tab delimited text file containing one scan, sample and class per line.

Project Activity

See All Activity >

Follow Multi-Pipeline Gene Expression Analysis

Multi-Pipeline Gene Expression Analysis Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

Build gen AI apps with an all-in-one modern database: MongoDB Atlas

MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Multi-Pipeline Gene Expression Analysis!

Additional Project Details

Registered

2013-12-17