Results 61 to 70 of about 3,388 (214)

An evaluation study of biclusters visualization techniques of gene expression data

Journal of Integrative Bioinformatics, 2021
Biclustering is a non-supervised data mining technique used to analyze gene expression data, it consists to classify subgroups of genes that have similar behavior under subgroups of conditions.
Aouabed Haithem, Elloumi Mourad, Santamaría Rodrigo   +2 more
doaj   +1 more source

The EUROmediCAT Network and Databases: A Resource for Pharmacovigilance in Pregnancy

Pharmacoepidemiology and Drug Safety, Volume 35, Issue 5, May 2026.
ABSTRACT Background The evidence gap relating to the risk of congenital anomalies (CA) associated with first trimester medication exposure in pregnancy is well recognized. Aims We describe the EUROmediCAT network and databases, and the methodological approach to pregnancy pharmacovigilance.
Helen Dolk, Christine Damase‐Michel, Joan Morris, Amanda Neville, Ester Garne, Sue Jordan, Anke Rissmann, Alessio Coi, Deirdre Folan, Dieuwke Broekstra, Jennifer M. Broughan, Lea Bruneau, Clara Cavero‐Carbonell, Elly den Hond, Miriam Gatt, Mika Gissler, Babak Khoshnood, Anna Latos Bielenska, Hedvig Nordeng, Ljubica Odak, Mary O'Mahony, Isabelle Perthus, J. Luke Richardson, Florence Rouget, Joanna Sichitiu, David Tucker, Natalya Zymak‐Zakutnya, Maria Loane   +27 more
wiley   +1 more source

Biclustering: Methods, Software and Application [PDF]

, 2011
Over the past 10 years, biclustering has become popular not only in the field of biological data analysis but also in other applications with high-dimensional two way datasets.
Kaiser, Sebastian
core  

Capacity Optimization and Hierarchical Robust Control Verification of Wind–Solar–Diesel Hybrid Microgrid Based on Improved Multi‐Objective Grey Wolf Algorithm

Engineering Reports, Volume 8, Issue 3, March 2026.
To address high‐altitude power transmission challenges, a composite controller was developed to suppress strong wind interference, demonstrating the effectiveness of hierarchical control in complex dynamic systems. Hardware‐in‐the‐loop experiments verified the robustness of the control algorithm, providing methodological support for developing ...
Shaofeng Bai, Jun Zhong
wiley   +1 more source

Improving the performance of the iterative signature algorithm for the identification of relevant patterns

, 2011
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,
Oliveira, J.L., Pinheiro, M., J. L. Oliveira, V. Afreixo, A. Freitas, M. Pinheiro, G. Moura, M. Santos, Moura, G., Santos, M., Freitas, A., Afreixo, V.   +11 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, Arundhati Joshi, Constantin von Kaisenberg, Dorothea Brüggemann, Cornelia Lee‐Thedieck   +4 more
wiley   +1 more source

BicAT: a biclustering analysis toolbox [PDF]

Bioinformatics, 2006
Abstract Summary: Besides classical clustering methods such as hierarchical clustering, in recent years biclustering has become a popular approach to analyze biological data sets, e.g. gene expression data. The Biclustering Analysis Toolbox (BicAT) is a software platform for clustering-based data analysis that integrates various ...
Barkow, Simon, Bleuler, Stefan, Prelić, Amela, Zimmermann, Philip, Zitzler, Eckart   +4 more
openaire   +4 more sources

STC1‐Based Activation of NF‐κB Signaling Pathway Induces Epthithelial–Mesenchymal Transition Thus Promotes Progression and Temozolomide Resistance of Glioblastoma

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, Beichen Zhang, Haoyu Zhou, Bin Liu, Xiaobin Bai, Wei Wu, Ruichun Li, Wanfu Xie   +7 more
wiley   +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, Nathanaël Zweig, Pierre Vincens, Helena Cruz de Carvalho, Carole Duchene, Shun Liu, Raphael Monteil, Richard G. Dorrell, Michele Fabris, Klaas Vandepoele, Chris Bowler, Angela Falciatore   +11 more
wiley   +1 more source

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, Ian C McDowell, Shiwen Zhao, Christopher D Brown, Barbara E Engelhardt   +4 more
doaj   +1 more source