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Hybrid Symmetrical Uncertainty and Reference Set Harmony Search Algorithm for Gene Selection Problem
Mathematics, 2022 Selecting the most miniature possible set of genes from microarray datasets for clinical diagnosis and prediction is one of the most challenging machine learning tasks. A robust gene selection technique is required to identify the most significant subset
Salam Salameh Shreem +3 more
doaj +1 more source
Bayesian variable selection for hierarchical gene–environment and gene–gene interactions [PDF]
Human Genetics, 2014 We propose a Bayesian hierarchical mixture model framework that allows us to investigate the genetic and environmental effects, gene by gene interactions and gene by environment interactions in the same model. Our approach incorporates the natural hierarchical structure between the main effects and interaction effects into a mixture model, such that ...
Changlu, Liu +2 more
openaire +2 more sources
Identification and mapping of the novel apple scab resistance gene Vd3 [PDF]
, 2009 Apple scab, caused by the fungal pathogen Venturia inaequalis, is one of the most devastating diseases for the apple growing in temperate zones with humid springs and summers.
Groenwold, R. +7 more
core +2 more sources
Predictive analysis of microarray data [PDF]
, 2014 Microarray gene expression data are analyzed by means of a Bayesian nonparametric model, with emphasis on prediction of future observables, yielding a method for selection of differentially expressed genes and a ...
F., Paulo C. Marques +1 more
core +1 more source
Evidence Based Selection of Housekeeping Genes
PLoS ONE, 2007 For accurate and reliable gene expression analysis, normalization of gene expression data against housekeeping genes (reference or internal control genes) is required. It is known that commonly used housekeeping genes (e.g. ACTB, GAPDH, HPRT1, and B2M) vary considerably under different experimental conditions and therefore their use for normalization ...
de Jonge, Hendrik J. M. +9 more
openaire +5 more sources
Diagnosis of the disease using an ant colony gene selection method based on information gain ratio using fuzzy rough sets [PDF]
Journal of Particle Science and Technology, 2017 With the advancement of metagenome data mining science has become focused on microarrays. Microarrays are datasets with a large number of genes that are usually irrelevant to the output class; hence, the process of gene selection or feature selection is ...
Mohammad Masoud Javidi, Sedighe Mansoury
doaj +1 more source
SELECTION OF AN UNFAVOURABLE GENE-COMPLEX [PDF]
Evolution, 1949 It has been the general basis of the theory of natural selection that genes or gene-combinations improving the "fitness" of a species will tend to increase in frequency within the species, while those which are harmful will tend to decrease, as a result of selection.
openaire +2 more sources
Balancing Selection at the Tomato RCR3 Guardee Gene Family Maintains Variation in Strength of Pathogen Defense [PDF]
, 2012 Coevolution between hosts and pathogens is thought to occur between interacting molecules of both species. This results in the maintenance of genetic diversity at pathogen antigens (or so-called effectors) and host resistance genes such as the major ...
Hoerger, A. +5 more
core +4 more sources
Frontiers in Genetics, 2022 The new technology of single-cell RNA sequencing (scRNA-seq) can yield valuable insights into gene expression and give critical information about the cellular compositions of complex tissues.
Xiaowen Cao +6 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source