Mutual Spectral Clustering: Microarray Experiments Versus Text Corpus
author:
Kristiaan Pelckmans,
KU Leuven
Description
This work studies a machine learning technique designed for exploring relations between microarray experiment data and the corpus of gene-related literature available via PubMed. The use of this task is found in that it provides better clusters of genes by fusing both information sources together, while it can also be used to guide the expert through the large corpus of gene-related literature based on insights into microarray experiments and vice versa.
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