Results 51 to 60 of about 3,388 (214)
Measuring organizational happiness in higher education - a data-driven approach
Cogent Education, 2023 The measurement of organizational satisfaction is a popular topic in organizational science; however, less attention is given to organizational happiness. There are very few measuring tools designed to evaluate organizational happiness.
Zsolt Tibor Kosztyán +5 more
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Scientific Reports, 2017 In the analysis of large-scale gene expression data, it is important to identify groups of genes with common expression patterns under certain conditions. Many biclustering algorithms have been developed to address this problem.
Anindya Bhattacharya, Yan Cui
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A Toolbox for Bicluster Analysis in R [PDF]
, 2008 Over the last decade, bicluster methods have become more and more popular in different fields of two way data analysis and a wide variety of algorithms and analysis methods have been published.
Leisch, Friedrich +3 more
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Biclustering of the Gene Expression Data by Coevolution Cuckoo Search [PDF]
International Journal Bioautomation, 2015 Biclustering has a potential to discover the local expression patterns analyzing the gene expression data which provide clues about biological processes.
Lu Yin, Yongguo Liu
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BMC Bioinformatics, 2008 Background The DNA microarray technology allows the measurement of expression levels of thousands of genes under tens/hundreds of different conditions.
Siu Wan-Chi +3 more
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BicOverlapper: A tool for bicluster visualization [PDF]
Bioinformatics, 2008 Abstract Summary: BicOverlapper is a tool to visualize biclusters from gene-expression matrices in a way that helps to compare biclustering methods, to unravel trends and to highlight relevant genes and conditions. A visual approach can complement biological and statistical analysis and reduce the time spent by specialists interpreting ...
Rodrigo Santamaría +2 more
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DeBi: Discovering Differentially Expressed Biclusters using a Frequent Itemset Approach
Algorithms for Molecular Biology, 2011 Background The analysis of massive high throughput data via clustering algorithms is very important for elucidating gene functions in biological systems. However, traditional clustering methods have several drawbacks.
Vingron Martin, Serin Akdes
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DNA Microarray Data Analysis: A Novel Biclustering Algorithm Approach
EURASIP Journal on Advances in Signal Processing, 2006 Biclustering algorithms refer to a distinct class of clustering algorithms that perform simultaneous row-column clustering. Biclustering problems arise in DNA microarray data analysis, collaborative filtering, market research, information retrieval ...
Tewfik Ahmed H, Tchagang Alain B
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BMC Bioinformatics, 2008 Background The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem in the analysis of gene expression data since genes may only jointly ...
Feng Xiao-Jiang +5 more
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Pattern Recognition of Food Security in Indonesia Using Biclustering Plaid Model
JTAM (Jurnal Teori dan Aplikasi Matematika), 2023 Biclustering come in various algorithms, selecting the most suitable biclustering algorithm can be a challenging task. The performance of algorithms can vary significantly depending on the specific data characteristics.
Nur Hikmah +2 more
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