FuncISH: learning a functional representation of neural ISH images.

ABSTRACT:

Motivation

High-spatial resolution imaging datasets of mammalian brains have recently become available in unprecedented amounts. Images now reveal highly complex patterns of gene expression varying on multiple scales. The challenge in analyzing these images is both in extracting the patterns that are most relevant functionally and in providing a meaningful representation that allows neuroscientists to interpret the extracted patterns.

Results

Here, we present FuncISH--a method to learn functional representations of neural in situ hybridization (ISH) images. We represent images using a histogram of local descriptors in several scales, and we use this representation to learn detectors of functional (GO) categories for every image. As a result, each image is represented as a po

SUBMITTER: Liscovitch N 

PROVIDER: S-EPMC3694670 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature