Results 51 to 60 of about 3,867 (213)
BICLUSTERING APPLICATION IN INDONESIAN ECONOMIC AND PANDEMIC VULNERABILITY
Barekeng, 2022 Biclustering is an analytical tool to group data from two dimensions simultaneously. The analysis was first introduced by Hartigan (1972) and applied by Cheng and Church (2000) to the gene expression matrix.
Wiwik Andriyani Lestari Ningsih +2 more
doaj +1 more source
Biomimetic Fibrinogen Nanofiber Scaffolds for Vascular Hematopoietic Stem Cell Niche Engineering
Advanced Healthcare Materials, Volume 15, Issue 5, 2 February 2026.This study presents an advanced in vitro model of the vascular hematopoietic stem cell niche using self‐assembled fibrinogen nanofibers, mimicking the basement membrane in bone marrow (BM) sinusoids. The model supports the coculture of microvascular endothelial cells, stromal cells, and hematopoietic stem and progenitor cells, providing insights into ...
Sophia Lena Meermeyer +4 more
wiley +1 more source
Pattern-driven neighborhood search for biclustering of microarray data [PDF]
, 2012 Biclustering aims at finding subgroups of genes that show highly correlated behaviors across a subgroup of conditions. Biclustering is a very useful tool for mining microarray data and has various practical applications.
M. Elloumi +5 more
core +1 more source
Finding biclusters by random projections
Theoretical Computer Science, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Stefano Lonardi +2 more
openaire +2 more sources
Context Specific and Differential Gene Co-expression Networks via Bayesian Biclustering.
PLoS Computational Biology, 2016 Identifying latent structure in high-dimensional genomic data is essential for exploring biological processes. Here, we consider recovering gene co-expression networks from gene expression data, where each network encodes relationships between genes that
Chuan Gao +4 more
doaj +1 more source
The FASEB Journal, Volume 39, Issue 19, 15 October 2025.Glioblastoma (GBM), a neuroepithelial‐derived lethal malignancy, remains incurable due to its intrinsic heterogeneity, necessitating molecular biomarkers for precision therapeutics. STC1 promotes GBM progression and temozolomide (TMZ) resistance by activating the NF‐κB signaling pathway, which drives epithelial–mesenchymal transition (EMT) and enhances
Jia Wang +7 more
wiley +1 more source
A biclustering algorithm based on a Bicluster Enumeration Tree: application to DNA microarray data
BioData Mining, 2009 Background In a number of domains, like in DNA microarray data analysis, we need to cluster simultaneously rows (genes) and columns (conditions) of a data matrix to identify groups of rows coherent with groups of columns.
Ayadi Wassim +2 more
doaj +1 more source
DPCT: A Dynamic Method for Detecting Protein Complexes From TAP-Aware Weighted PPI Network
Frontiers in Genetics, 2020 Detecting protein complexes from the Protein-Protein interaction network (PPI) is the essence of discovering the rules of the cellular world. There is a large amount of PPI data available, generated from high throughput experimental data.
Ali SabziNezhad, Saeed Jalili
doaj +1 more source
DiatOmicBase: a versatile gene‐centered platform for mining functional omics data in diatom research
The Plant Journal, Volume 121, Issue 6, March 2025.SUMMARY Diatoms are prominent microalgae found in all aquatic environments. Over the last 20 years, thanks to the availability of genomic and genetic resources, diatom species such as Phaeodactylum tricornutum and Thalassiosira pseudonana have emerged as valuable experimental model systems for exploring topics ranging from evolution to cell biology ...
Emilie Villar +11 more
wiley +1 more source
A collaborative filtering recommendation algorithm based on biclustering
, 2015 Collaborative filtering has been widely used in many fields such as movie recommendation and e-commerce. However, there are still some problems such as data sparsity which restrict its further development. To address the data sparsity problem we proposed
Wang JS(汪家升) +5 more
core +1 more source