eBi - The Algorithm for Exact Biclustering
نویسندگان
چکیده
This article presents an algorithm for finding exact and overlapping biclusters, all covered by the same discrete value. It can be very useful to analyse data where the key task is finding which objects (elements in rows) across subset of attributes (elements in columns) have the same value in case of discrete data or belong to this same discrete state in case of continuous data.
منابع مشابه
Evaluating the statistical significance of biclusters
Biclustering (also known as submatrix localization) is a problem of high practical relevance in exploratory analysis of high-dimensional data. We develop a framework for performing statistical inference on biclusters found by score-based algorithms. Since the bicluster was selected in a data dependent manner by a biclustering or localization algorithm, this is a form of selective inference. Our...
متن کاملAnalysis and visualization of gene expression data using biclustering: A comparative study
In the last few years the gene expression microarray technology has become a central tool in the field of functional genomics in which the expression levels of thousands of genes in a biological sample are determined in a single experiment. Several clustering and biclustering methods have been introduced to analyze the gene expression data by identifying the similar patterns and grouping genes ...
متن کاملOptimal Bipartite Network Clustering
We consider the problem of bipartite community detection in networks, or more generally the network biclustering problem. We present a fast two-stage procedure based on spectral initialization followed by the application of a pseudo-likelihood classifier twice. Under mild regularity conditions, we establish the weak consistency of the procedure (i.e., the convergence of the misclassification ra...
متن کاملRectified Factor Networks for Biclustering
Biclustering is evolving into one of the major tools for analyzing large datasets given as matrix of samples times features. Biclustering has several noteworthy applications and has been successfully applied in life sciences and e-commerce for drug design and recommender systems, respectively. FABIA is one of the most successful biclustering methods and is used by companies like Bayer, Janssen,...
متن کاملAn Improved Biclustering Algorithm for Gene Expression Data
Cheng-Church (CC) biclustering algorithm is the popular algorithm for the gene expression data mining at present. Only find one biclustering can be found at one time and the biclustering that overlap each other can hardly be found when using this algorithm. This article puts forward a modified algorithm for the gene expression data mining that uses the middle biclustering result to conduct the ...
متن کامل