Results 31 to 40 of about 6,396 (182)

Mining local staircase patterns in noisy data [PDF]

open access: yes, 2012
Most traditional biclustering algorithms identify biclusters with no or little overlap. In this paper, we introduce the problem of identifying staircases of biclusters.
De Raedt, Luc   +7 more
core   +2 more sources

Implementation of BiClusO and its comparison with other biclustering algorithms

open access: yesApplied Network Science, 2019
This paper describes the implementation of biclustering algorithm BiClusO using graphical user interface and different parameters to generate overlapping biclusters from a binary sparse matrix.
Mohammad Bozlul Karim   +2 more
doaj   +1 more source

An Efficient Algorithm for Convex Biclustering

open access: yesMathematics, 2021
We consider biclustering that clusters both samples and features and propose efficient convex biclustering procedures. The convex biclustering algorithm (COBRA) procedure solves twice the standard convex clustering problem that contains a non ...
Jie Chen, Joe Suzuki
doaj   +1 more source

Colorectal Cancer-Associated Microbiome Patterns and Signatures

open access: yesFrontiers in Genetics, 2021
The gut microbiome is dynamic and shaped by diet, age, geography, and environment. The disruption of normal gut microbiota (dysbiosis) is closely related to colorectal cancer (CRC) risk and progression.
Lan Zhao   +4 more
doaj   +1 more source

Measuring organizational happiness in higher education - a data-driven approach

open access: yesCogent 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
doaj   +1 more source

Guaranteed clustering and biclustering via semidefinite programming [PDF]

open access: yes, 2013
Identifying clusters of similar objects in data plays a significant role in a wide range of applications. As a model problem for clustering, we consider the densest k-disjoint-clique problem, whose goal is to identify the collection of k disjoint cliques
A Ng   +27 more
core   +3 more sources

Preparation and characterization of magnetite (Fe3O4) nanoparticles By Sol-Gel method [PDF]

open access: yes, 2019
The magnetite (Fe3O4) nanoparticles were successfully synthesized and annealed under vacuum at different temperature. The Fe3O4 nanoparticles prepared via sol-gel assisted method and annealed at 200-400ºC were characterized by Fourier Transformation ...
A. Sekak, Khairunnadim   +3 more
core   +1 more source

Biclustering via sparse clustering

open access: yesBiometrics, 2019
AbstractIn identifying subgroups of a heterogeneous disease or condition, it is often desirable to identify both the observations and the features which differ between subgroups. For instance, it may be that there is a subgroup of individuals with a certain disease who differ from the rest of the population based on the expression profile for only a ...
Erika S. Helgeson   +4 more
openaire   +4 more sources

Optimisation algorithms for microarray biclustering [PDF]

open access: yes2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013
In providing simultaneous information on expression profiles for thousands of genes, microarray technologies have, in recent years, been largely used to investigate mechanisms of gene expression. Clustering and classification of such data can, indeed, highlight patterns and provide insight on biological processes. A common approach is to consider genes
Perrin, Dimitri, Duhamel, Christophe
openaire   +4 more sources

A GPU-accelerated algorithm for biclustering analysis and detection of condition-dependent coexpression network modules

open access: yesScientific 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
doaj   +1 more source

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