Results 71 to 80 of about 1,213,334 (312)

Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?

FEBS Letters, EarlyView.
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes, Guilherme M. Azevedo, Amanda P. Barcellos, Diana Bahia   +3 more
wiley   +1 more source

Discriminative Gene Selection Employing Linear Regression Model [PDF]

, 2013
Microarray datasets enables the analysis of expression of thousands of genes across hundreds of samples. Usually classifiers do not perform well for large number of features (genes) as is the case of microarray datasets.
Abid Hasan, Kamrul Hasan, Shaikh Jeeshan Kabeer   +2 more
core   +1 more source

An optimization-based framework for gene expression-based diagnostic classification of Wilms tumor

Machine Learning: Science and Technology
In this study, eSRA is a novel optimization algorithm proposed to enhance machine learning model efficiency in large-scale problems with numerous dimensions and intricate patterns.
Mohammed Qaraad, Tianshun Zhang, David Guinovart   +2 more
doaj   +1 more source

Using Supervised Learning Methods for Gene Selection in RNA-Seq Case-Control Studies

Frontiers in Genetics, 2018
Whole transcriptome studies typically yield large amounts of data, with expression values for all genes or transcripts of the genome. The search for genes of interest in a particular study setting can thus be a daunting task, usually relying on automated
Stephane Wenric, Stephane Wenric, Ruhollah Shemirani   +2 more
doaj   +1 more source

Recent Advances on Penalized Regression Models for Biological Data

Mathematics, 2022
Increasingly amounts of biological data promote the development of various penalized regression models. This review discusses the recent advances in both linear and logistic regression models with penalization terms.
Pei Wang, Shunjie Chen, Sijia Yang
doaj   +1 more source

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

FEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe, Tanmay Kumar Mohanty, Rashna Bhandari, Dorothea Fiedler   +3 more
wiley   +1 more source

High resolution mapping of a novel late blight resistance gene Rpi-avll, from the wild Bolivian species Solanum avilesii [PDF]

, 2011
Both Mexico and South America are rich in Solanum species that might be valuable sources of resistance (R) genes to late blight (Phytophthora infestans). Here, we focus on an R gene present in the diploid Bolivian species S. avilesii.
Visser, R.G.F., Vossen, E.A.G., van der, Vleeshouwers, V.G.A.A., Niks, R.E., Vetten, N., de, Verzaux, E.C., Jacobsen, E., Budding, D.J.   +7 more
core   +1 more source

A Gene Selection Approach based on Clustering for Classification Tasks in Colon Cancer

Advances in Distributed Computing and Artificial Intelligence Journal, 2016
Gene selection (GS) is an important research area in the analysis of DNA-microarray data, since it involves gene discovery meaningful for a particular target annotation or able to discriminate expression profiles of samples coming from different ...
José Antonio CASTELLANOS GARZÓN, Juan RAMOS GONZÁLEZ   +1 more
doaj   +1 more source

The (Glg)ABCs of cyanobacteria: modelling of glycogen synthesis and functional divergence of glycogen synthases in Synechocystis sp. PCC 6803

FEBS Letters, EarlyView.
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee, Dimitrios Bekiari, Sofia Doello, Karl Forchhammer   +3 more
wiley   +1 more source

Variable Selection and Parameter Tuning in High-Dimensional Prediction [PDF]

, 2010
In the context of classification using high-dimensional data such as microarray gene expression data, it is often useful to perform preliminary variable selection.
Boulesteix, Anne-Laure, Bernau, Christoph   +1 more
core   +1 more source