Pairwise gene GO|based measures for biclustering of high ...

Pairwise gene GO-based measures for biclustering of high ...

Gene pairwise GO semantic similarity measures report a value for each pair of genes which establishes their functional similarity.

Pairwise gene GO-based measures for biclustering of high ...

Gene pairwise GO semantic similarity measures report a value for each pair of genes which establishes their functional similarity. A scatter ...

Pairwise gene GO-based measures for biclustering of high ...

... bicluster obtained with the (212)-simGIC fitness function. From: Pairwise gene GO-based measures for biclustering of high-dimensional expression data. Pathway ...

Pairwise gene GO-based measures for biclustering of high ...

Pairwise gene GO-based measures for biclustering of high-dimensional expression data · 8 Citations · 70 References.

(PDF) Pairwise gene GO-based measures for biclustering of high ...

PDF | Background Biclustering algorithms search for groups of genes that share the same behavior under a subset of samples in gene expression data.

Pairwise gene GO-based measures for biclustering of high ... - OUCI

Eren K, Deveci M, Kucuktunc O, Catalyurek UV. A comparative analysis of biclustering algorithms for gene expression data. Brief Bioinform. 2013; 14(3):279–292.

Vista Equipo: Pairwise gene GO-based measures for biclustering of ...

Pairwise gene GO-based measures for biclustering of high-dimensional expression data ... Background: Biclustering algorithms search for groups of genes that share ...

Pairwise gene GO-based measures for biclustering of high ... - X-MOL

Gene pairwise GO semantic similarity measures report a value for each pair of genes which establishes their functional similarity. A scatter search-based ...

Pairwise gene GO-based measures for biclustering of high ...

Pairwise gene GO-based measures for biclustering of high-dimensional expression data. 高次元発現データのバイクラスタリングのための対遺伝子GOに基づく測度【JST ...

Bicluster-Based Identification of Gene Sets Through Multivariate ...

degrees of significance measured by enrichment-related measures and GO tree mappings. ... To tackle the challenge of high dimensionality, a two-step MVMA method ...

Biclustering Algorithms Based on Metaheuristics: A Review - HAL

AMOSAB used a real- based encoding of biclusters and a decodification method based ... Pairwise gene GO-based measures for biclustering of high- ...

arXiv:2203.16241v1 [cs.LG] 30 Mar 2022

AMOSAB used a real- based encoding of biclusters and a decodification method based ... Pairwise gene GO-based measures for biclustering of high- ...

An ensemble biclustering approach for querying gene expression ...

Therefore, genes that frequently co-occur over the results obtained with the varying resolution parameter will obtain higher consensus scores (i.e. have a ...

Biclustering of Linear Patterns In Gene Expression Data - PMC - NCBI

Methods range from requiring a complete partition of the data matrix, wherein the resultant biclusters must be distinct in both the gene and condition ...

Experimental correlation analysis of bicluster coherence measures ...

Biclustering algorithms have become popular tools for gene expression data analysis. They can identify local patterns defined by subsets of genes and ...

It is time to apply biclustering: a comprehensive review of ...

Biclustering is a powerful data mining technique that allows clustering of rows and columns, simultaneously, in a matrix-format data set.

Bicluster heat map. Rows represent genes belonging to I, and...

Results The effect of two possible different gene pairwise GO measures on the performance of the algorithm is analyzed. Firstly, three well known yeast datasets ...

Deep surveys of transcriptional modules with Massive Associative K ...

Based on these pairwise overlaps we identified subsets of the bicluster set, where all members overlapped at least 0.25, corresponding to ...

Quality Measures for Gene Expression Biclusters | PLOS ONE

Having a suitable quality metric for bicluster is a critical aspect, not only for guiding the search, but also for establishing a comparison criteria among the ...

Pairwise gene GO-based measures for biclustering of high ...

Pairwise gene GO-based measures for biclustering of high-dimensional expression data · Resumen · Enlaces · BibTeX (Download).