Results 61 to 70 of about 2,115,238 (295)

Overlapping Probabilities of Top Ranking Gene Lists, Hypergeometric Distribution, and Stringency of Gene Selection Criterion

open access: yes, 2006
When the same set of genes appear in two top ranking gene lists in two different studies, it is often of interest to estimate the probability for this being a chance event.
Batliwalla, Franak   +3 more
core   +1 more source

Gene expression programming approach to event selection in high energy physics [PDF]

open access: yes, 2006
Gene Expression Programming is a new evolutionary algorithm that overcomes many limitations of the more established Genetic Algorithms and Genetic Programming. Its first application to high energy physics data analysis is presented.
Teodorescu, L
core   +1 more source

Personalized Selumetinib Dosing in Pediatric Neurofibromatosis Type 1: Insights From a Pilot Therapeutic Drug Monitoring Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács   +8 more
wiley   +1 more source

Assortative Mating By Diet In A Phenotypically Unimodal But Ecologically Variable Population Of Stickleback [PDF]

open access: yes, 2008
Speciation with gene flow may be driven by a combination of positive assortative mating and disruptive selection, particularly if selection and assortative mating act on the same trait, eliminating recombination between ecotype and mating type ...
Bolnick, Daniel I., Snowberg, Lisa K.
core   +1 more source

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

open access: yesFrontiers 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   +2 more
doaj   +1 more source

Recent Advances on Penalized Regression Models for Biological Data

open access: yesMathematics, 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

Good genes sexual selection in nature [PDF]

open access: yesProceedings of the National Academy of Sciences, 2006
Whether the mate sampling and choice performed by females in nature influences offspring performance is a controversial issue in theory and an open empirical question. Pronghorn ( Antilocapra americana ) females engage in an obvious and energetically expensive mate sampling process to ...
John A, Byers, Lisette, Waits
openaire   +2 more sources

Sirolimus for Extracranial Arteriovenous Malformations: A Scoping Review of the Evidence in Syndromic and Non‐Syndromic Cases

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Arteriovenous malformations (AVMs) are rare, high‐flow, vascular anomalies that can occur either sporadically or as part of a genetic syndrome. AVMs can progress with serious morbidity and even mortality if left unchecked. Sirolimus is an mTOR inhibitor that is effective in low‐flow vascular malformations; however, its role in AVMs is unclear.
Will Swansson   +3 more
wiley   +1 more source

Selection of the lamprey VLRC antigen receptor repertoire

open access: yes, 2014
The alternative adaptive immune system of jawless vertebrates is based on different isotypes of variable lymphocyte receptors (VLRs) that are composed of leucine-rich repeats (LRRs) and expressed by distinct B- and T-like lymphocyte lineages.
Aravind, L.   +9 more
core   +1 more source

Feature selection for microarray gene expression data using simulated annealing guided by the multivariate joint entropy [PDF]

open access: yes, 2013
In this work a new way to calculate the multivariate joint entropy is presented. This measure is the basis for a fast information-theoretic based evaluation of gene relevance in a Microarray Gene Expression data context.
Belanche Muñoz, Luis Antonio   +1 more
core   +5 more sources

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