Intersected Coexpressed Subcube Miner: An Effective Triclustering Algorithm

Provided by: Tezmo AB
Topic: Big Data
Format: PDF
There are a few triclustering techniques that extract genes which have similar expression patterns for a set of samples across a set of time points. A challenge in triclustering is to take care of both inter temporal and intra temporal gene coherence in the process of tricluster mining. Other challenges in triclustering are avoidance of time dominated and sample dominated results and detection of time latent triclusters. The paper presents a triclustering technique based on the concept of order preserving sub-matrices to find a set of triclusters from gene-sample-time data.

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