Results 1 to 10 of about 6,396 (182)

G-bic: generating synthetic benchmarks for biclustering [PDF]

BMC Bioinformatics, 2023
Background Biclustering is increasingly used in biomedical data analysis, recommendation tasks, and text mining domains, with hundreds of biclustering algorithms proposed.
Eduardo N. Castanho, João P. Lobo, Rui Henriques, Sara C. Madeira   +3 more
doaj   +2 more sources

Protocol for analyzing functional gene module perturbation during the progression of diseases using a single-cell Bayesian biclustering framework [PDF]

STAR Protocols
Summary: The pathogenesis of complex diseases involves intricate gene regulation across cell types, necessitating a comprehensive analysis approach.
Kunyue Wang, Yuqiao Gong, Zixin Yan, Zhiyuan Dang, Junhao Wang, Maoying Wu, Yue Zhang   +6 more
doaj   +2 more sources

Biclustering of Log Data: Insights from a Computer-Based Complex Problem Solving Assessment [PDF]

Journal of Intelligence
Computer-based assessments provide the opportunity to collect a new source of behavioral data related to the problem-solving process, known as log file data.
Xin Xu, Susu Zhang, Jinxin Guo, Tao Xin
doaj   +2 more sources

A personalized reinforcement learning recommendation algorithm using bi-clustering techniques. [PDF]

PLoS ONE
Recommender systems have become a core component of various online platforms, helping users get relevant information from the abundant digital data.
Muhammad Waqar, Mubbashir Ayub
doaj   +2 more sources

Evolutionary Mechanism Based Conserved Gene Expression Biclustering Module Analysis for Breast Cancer Genomics [PDF]

Biomedicines
The identification of significant gene biclusters with particular expression patterns and the elucidation of functionally related genes within gene expression data has become a critical concern due to the vast amount of gene expression data generated by ...
Wei Yuan, Yaming Li, Zhengpan Han, Yu Chen, Jinnan Xie, Jianguo Chen, Zhisheng Bi, Jianing Xi   +7 more
doaj   +2 more sources

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, Wiwik Andriyani Lestari Ningsih, Asep Saefuddin, Embay Rohaeti   +3 more
doaj   +1 more source

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, Helena Aidos, Sara C. Madeira   +2 more
doaj   +1 more source

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, Qin Ma, Guojun Li, Ying Xu   +3 more
doaj   +1 more source

A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis

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, Jin-Xing Liu, Ke Zhang, Chun-Hou Zheng, Juan Wang, Xiang-Zhen Kong   +5 more
doaj   +1 more source

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, J Gowrishankar, V Amirtha Preeya, T Pushpa, T Karthikeyan   +4 more
doaj   +1 more source