This goal is realized in several steps. First, we apply multi-objective genetic algorithm to determine some alternative clustering solutions that constitute the ...
We demonstrate the applicability and effectiveness of the proposed clustering approach by conducting ex- periments using two benchmark data sets. Keywords: ...
We demonstrate the applicability and effectiveness of the proposed clustering approach by conducting experiments using two benchmark data sets. en_US. dc.
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Nov 30, 2016 · The clustering of gene expression data has been proven to be useful in making known the natural structure inherent in gene expression data, ...
Oct 12, 2023 · Clustering molecular data into informative groups is a primary step in extracting robust conclusions from big data.
Jun 22, 2018 · We propose a new methodology that first computes a robust and sparse correlation matrix of the genes, then decomposes it and projects the patient data onto the ...
Dec 10, 2022 · We developed an approach to improve GE clustering from microarray data by integrating regulatory data from different but partially overlapping sets of ...
Get details about the chapter of From Alternative Clustering to Robust Clustering and Its Application to Gene Expression Data from book Intelligent Data ...
May 20, 2022 · Hi everyone, I am trying to perform clustering on RNAseq data with the goal of finding motifs that are alternatively spliced in the normal ...
May 30, 2014 · I started clustering analysis and i used hierarchal clustering to make a dendrogram plot. By the first look of it, it seems that that some samples are out of ...