Deconvolving molecular signatures of interactions between microbial colonies.

ABSTRACT:

Motivation

The interactions between microbial colonies through chemical signaling are not well understood. A microbial colony can use different molecules to inhibit or accelerate the growth of other colonies. A better understanding of the molecules involved in these interactions could lead to advancements in health and medicine. Imaging mass spectrometry (IMS) applied to co-cultured microbial communities aims to capture the spatial characteristics of the colonies' molecular fingerprints. These data are high-dimensional and require computational analysis methods to interpret.

Results

Here, we present a dictionary learning method that deconvolves spectra of different molecules from IMS data. We call this method MOLecular Dictionary Learning ( MOLDL: ). Unlike standard dictiona

SUBMITTER: Harn YC 

PROVIDER: S-EPMC4765860 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature