Results 61 to 70 of about 31,256,270 (297)

A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis

BMC Bioinformatics, 2022
Biclustering algorithm is an effective tool for processing gene expression datasets. There are two kinds of data matrices, binary data and non-binary data, which are processed by biclustering method.
He-Ming Chu, Jin-Xing Liu, Ke Zhang, Chun-Hou Zheng, Juan Wang, Xiang-Zhen Kong   +5 more
doaj   +1 more source

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

FEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa, Shinya Sugimoto, Toshiro Sato   +2 more
wiley   +1 more source

On the classification of microarray gene-expression data [PDF]

Briefings in Bioinformatics, 2012
We consider the classification of microarray gene-expression data. First, attention is given to the supervised case, where the tissue samples are classified with respect to a number of predefined classes and the intent is to assign a new unclassified tissue to one of these classes.
Kaye E. Basford, Geoffrey J. McLachlan, Suren I. Rathnayake   +2 more
openaire   +5 more sources

Transcriptome alterations of vascular smooth muscle cells in aortic wall of myocardial infarction patients

Data in Brief, 2018
This article contains further data and information from our published manuscript [1]. We aim to identify significant transcriptome alterations of vascular smooth muscle cells (VSMCs) in the aortic wall of myocardial infarction (MI) patients.
Thidathip Wongsurawat, Chin Cheng Woo, Antonis Giannakakis, Xiao Yun Lin, Esther Sok Hwee Cheow, Chuen Neng Lee, Mark Richards, Siu Kwan Sze, Intawat Nookaew, Vladimir A. Kuznetsov, Vitaly Sorokin   +10 more
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Gene Expression Data

, 2022
The gene expression data from the RNA-sequencing experiment.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE.
Seo, E (via Mendeley Data), Seo, Eunjeong   +1 more
core   +1 more source

ABL kinase‐dependent phosphorylation of SH proteins promotes their direct interaction with CRK family SH2 domains

FEBS Letters, EarlyView.
CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens, Brendan W. Chandler, Anna M. Schmoker, Jaye L. Weinert, Charlotte A. Kearns, Warren T. Yacawych, Amila Šemić, Alicia M. Ebert, Bryan A. Ballif   +8 more
wiley   +1 more source

Gene expression in chicken reveals correlation with structural genomic features and conserved patterns of transcription in the terrestrial vertebrates [PDF]

, 2010
The chicken is an important agricultural and avian-model species. A survey of gene expression in a range of different tissues will provide a benchmark for understanding expression levels under normal physiological conditions in birds.
Evert M van Schothorst, Aart Lammers, Lammers, Aart, Jack A. M. Leunissen, Neerincx, P., Jaap Keijer, Keijer, J., Jack A M Leunissen, Martien A M Groenen, Crooijmans Richard P. M. A., Neerincx Pieter B. T., Groenen Martien A. M., Richard P M A Crooijmans, van Schothorst, Evert M, Keijer, Jaap, Lammers, A., Keijer Jaap, Nie Haisheng, Pieter B. T. Neerincx, Megens, H.J.W.C., Neerincx, Pieter B T, Megens Hendrik-Jan, Schothorst, E.M., van, Pieter B T Neerincx, Martien A. M. Groenen, Nie, Haisheng, Groenen, M.A.M., Hendrik-Jan Megens, Richard P. M. A. Crooijmans, Leunissen, Jack A M, Crooijmans, Richard P M A, Groenen, Martien A M, van Schothorst Evert M., Nie, H., Megens, Hendrik-Jan, Crooijmans, R.P.M.A., Haisheng Nie, Lammers Aart, Leunissen, J.A.M., Evert M. van Schothorst, Leunissen Jack A. M.   +40 more
core   +2 more sources

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

Modeling and visualizing uncertainty in gene expression clusters using Dirichlet process mixtures [PDF]

, 2009
Although the use of clustering methods has rapidly become one of the standard computational approaches in the literature of microarray gene expression data, little attention has been paid to uncertainty in the results obtained. Dirichlet process mixture (
Rasmussen, Carl Edward, Wild, David L., Ghahramani, Zoubin, Ghahramani, Z., Rasmussen, C., De la Cruz, Bernard J., de la Cruz , B., Wild, D.   +7 more
core   +1 more source