BatchMatch®

What is Batch Effect?
Batch effect is the systematic non-biological difference between samples commonly found in high throughput biomedical datasets from disciplines such as transcriptomics, genomics, proteomics, and metabolomics. It can stem from various causes including the application of different experimental protocols, the use of different platforms or instruments, the implementation of experiments at different labs or times, and the adoption of different batches of chips or reagents, among many others..

Direct combination of data without batch effect removal is not appropriate because the effect is non-biological and can be strong enough to mask the true biological signatures of the study. It is thus important to effectively remove the batch effect before carrying out the downstream data analysis.

What is BatchMatch?
BatchMatch is an analysis software package for evaluating and removing batch effect based on Systems Analytics’ proprietary technology with US and international patents pending. It facilitates the combination and study of datasets with multiple batches and enhances the statistical confidence in detecting real biological signals.

With the use of BatchMatch, the ability to identify reproducible differentially expressed features and to develop accurate and robust predictive models for unknown samples can be significantly increased.

Who is Using BatchMatch?
BatchMatch is becoming the primary software in the biomedical industry for the evaluation and removal of batch effects. BatchMatch software is a desktop application with a friendly graphic interface that allows users to input datasets, select analysis parameters, visualize intermediate and end results, and output analysis results and batch-adjusted datasets by simple point-and-click procedures. The users range from biologists and chemists to bioinformaticians and biostatisticians..



BatchMatch's Major Capabilities

Sample Results

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The software package features an intuitive graphical user interface (GUI) that provides a user-friendly environment.

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