Results 51 to 60 of about 6,396 (182)
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
doaj +1 more source
On bicluster aggregation and its benefits for enumerative solutions
, 2015 Biclustering involves the simultaneous clustering of objects and their attributes, thus defining local two-way clustering models. Recently, efficient algorithms were conceived to enumerate all biclusters in real-valued datasets.
de Oliveira, Saullo Haniell Galvão +2 more
core +1 more source
Applying spectral biclustering to mortality data
Risks, 2017 We apply spectral biclustering to mortality datasets in order to capture three relevant aspects: the period, the age and the cohort effects, as their knowledge is a key factor in understanding actuarial liabilities of private life insurance companies ...
Gabriella Piscopo, Marina Resta
doaj +1 more source
Improving the performance of the iterative signature algorithm for the identification of relevant patterns [PDF]
The iterative signature algorithm (ISA) has become very attractive to detect co-regulated genes from microarray data matrices and can be a useful tool for the identification of similar patterns in many other kinds of numerical data matrices. Nevertheless,
Agresti +16 more
core +2 more sources
The propagation of perturbations in rewired bacterial gene networks [PDF]
, 2015 What happens to gene expression when you add new links to a gene regulatory network? To answer this question, we profile 85 network rewirings in E. coli.
Baumstark, R +7 more
core +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
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
PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison
, 2017 The selection, development, or comparison of machine learning methods in data mining can be a difficult task based on the target problem and goals of a particular study. Numerous publicly available real-world and simulated benchmark datasets have emerged
La Cava, William +4 more
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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
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