Results 21 to 30 of about 3,388 (214)
BARTMAP: A Viable Structure for Biclustering
Neural Networks, 2011 Clustering has been used extensively in the analysis of high-throughput messenger RNA (mRNA) expression profiling with microarrays. Furthermore, clustering has proven elemental in microRNA expression profiling, which demonstrates enormous promise in the ...
Xu, Rui +3 more
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Biclustering Performance Evaluation of Cheng and Church Algorithm and Iterative Signature Algorithm
JTAM (Jurnal Teori dan Aplikasi Matematika), 2023 Biclustering has been widely applied in recent years. Various algorithms have been developed to perform biclustering applied to various cases. However, only a few studies have evaluated the performance of bicluster algorithms.
I Made Sumertajaya Sumertajaya +3 more
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Biclustering data analysis: a comprehensive survey [PDF]
Briefings in BioinformaticsHelena Aidos +2 more
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Biclustering fMRI time series: a comparative study
BMC Bioinformatics, 2022 Background The effectiveness of biclustering, simultaneous clustering of rows and columns in a data matrix, was shown in gene expression data analysis. Several researchers recognize its potentialities in other research areas.
Eduardo N. Castanho +2 more
doaj +1 more source
Biometrics, 2016 SummaryIn the biclustering problem, we seek to simultaneously group observations and features. While biclustering has applications in a wide array of domains, ranging from text mining to collaborative filtering, the problem of identifying structure in high-dimensional genomic data motivates this work.
Chi, Eric C. +2 more
openaire +4 more sources
QServer: a biclustering server for prediction and assessment of co-expressed gene clusters. [PDF]
PLoS ONE, 2012 BackgroundBiclustering is a powerful technique for identification of co-expressed gene groups under any (unspecified) substantial subset of given experimental conditions, which can be used for elucidation of transcriptionally co-regulated genes.ResultsWe
Fengfeng Zhou +3 more
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An approximation ratio for biclustering [PDF]
Information Processing Letters, 2008 The problem of biclustering consists of the simultaneous clustering of rows and columns of a matrix such that each of the submatrices induced by a pair of row and column clusters is as uniform as possible. In this paper we approximate the optimal biclustering by applying one-way clustering algorithms independently on the rows and on the columns of the ...
Kai Puolamäki +2 more
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Recommendation System with Biclustering
Big Data Mining and Analytics, 2022 The massive growth of online commercial data has raised the request for an automatic recommender system to benefit both users and merchants. One of the most frequently used recommendation methods is collaborative filtering, but its accuracy is limited by the sparsity of the rating dataset.
Jianjun Sun, Yu Zhang
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BMC Bioinformatics, 2022 Biclustering algorithm is an effective tool for processing gene expression datasets. There are two kinds of data matrices, binary data and non-binary data, which are processed by biclustering method.
He-Ming Chu +5 more
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GENE BICLUSTERING ON LARGE DATASETS USING FUZZY C-MEANS CLUSTERING
ICTACT Journal on Soft Computing, 2022 The current study employs biclustering to alleviate some of the drawbacks associated with gene expression data grouping. Different biclustering algorithms are used in this study to detect unique gene activity in various contexts and reduce the ...
M Ramkumar +4 more
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