Phase diagram and ridge logistic regression in stable gene selection
Sign Up to like & getrecommendations! Published in 2020 at "Biocybernetics and Biomedical Engineering"
DOI: 10.1016/j.bbe.2020.04.003
Abstract: Abstract Microarray analysis is widely used for cancer diagnosis and classification. However, among a large amount of genes in microarray data, only a small fraction of them is effective for making a highly reliable model.… read more here.
Keywords: gene selection; logistic regression; selection; ridge logistic ... See more keywords
Hybrid L1/2 + 2 method for gene selection in the Cox proportional hazards model
Sign Up to like & getrecommendations! Published in 2018 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2018.06.004
Abstract: BACKGROUND AND OBJECTIVE An important issue in genomic research is to identify the significant genes that related to survival from tens of thousands of genes. Although Cox proportional hazards model is a conventional survival analysis… read more here.
Keywords: gene selection; hazards model; method; cox proportional ... See more keywords
Wrapper-based gene selection with Markov blanket
Sign Up to like & getrecommendations! Published in 2017 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2016.12.002
Abstract: Gene selection seeks to find a small subset of discriminant genes from the gene expression profiles. Current gene selection methods such as wrapper-based models mainly address the issue of obtaining high-quality gene subsets. However, they… read more here.
Keywords: wrapper based; gene selection; gene; markov blanket ... See more keywords
Gene selection for tumor classification using neighborhood rough sets and entropy measures
Sign Up to like & getrecommendations! Published in 2017 at "Journal of biomedical informatics"
DOI: 10.1016/j.jbi.2017.02.007
Abstract: With the development of bioinformatics, tumor classification from gene expression data becomes an important useful technology for cancer diagnosis. Since a gene expression data often contains thousands of genes and a small number of samples,… read more here.
Keywords: gene selection; gene; gene expression; tumor classification ... See more keywords
Gene selection in autism - Comparative study
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.08.123
Abstract: The paper investigates application of several methods of feature selection to identification of the most important genes in autism disorder. The study is based on the expression microarray of genes. The applied methods analyze the… read more here.
Keywords: gene selection; selection autism; autism; study ... See more keywords
scPNMF: sparse gene encoding of single cells to facilitate gene selection for targeted gene profiling
Sign Up to like & getrecommendations! Published in 2021 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btab273
Abstract: ABSTRACT: Motivation Single-cell RNA sequencing (scRNA-seq) captures whole transcriptome information of individual cells. While scRNA-seq measures thousands of genes, researchers are often interested in only dozens to hundreds of genes for a closer study. Then,… read more here.
Keywords: scrna seq; gene selection; gene profiling; gene ... See more keywords
Predictive and robust gene selection for spatial transcriptomics
Sign Up to like & getrecommendations! Published in 2022 at "Nature Communications"
DOI: 10.1101/2022.05.13.491738
Abstract: Gene selection for spatial transcriptomics is currently not optimal. Here the authors report PERSIST, a flexible deep learning framework that uses existing scRNA-seq data to identify gene targets for spatial transcriptomics; they show this allows… read more here.
Keywords: selection spatial; gene selection; scrna seq; spatial transcriptomics ... See more keywords
A Gene Selection Method for Microarray Data Based on Binary PSO Encoding Gene-to-Class Sensitivity Information
Sign Up to like & getrecommendations! Published in 2017 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2015.2465906
Abstract: Traditional gene selection methods for microarray data mainly considered the features’ relevance by evaluating their utility for achieving accurate predication or exploiting data variance and distribution, and the selected genes were usually poorly explicable. To… read more here.
Keywords: gene selection; information; class sensitivity; gene class ... See more keywords
Meta-analysis approach as a gene selection method in class prediction: does it improve model performance? A case study in acute myeloid leukemia
Sign Up to like & getrecommendations! Published in 2017 at "BMC Bioinformatics"
DOI: 10.1186/s12859-017-1619-7
Abstract: BackgroundAggregating gene expression data across experiments via meta-analysis is expected to increase the precision of the effect estimates and to increase the statistical power to detect a certain fold change. This study evaluates the potential… read more here.
Keywords: gene selection; gene; meta analysis;
RgCop-A regularized copula based method for gene selection in single cell rna-seq data.
Sign Up to like & getrecommendations! Published in 2021 at "PLoS computational biology"
DOI: 10.1371/journal.pcbi.1009464
Abstract: Gene selection in unannotated large single cell RNA sequencing (scRNA-seq) data is important and crucial step in the preliminary step of downstream analysis. The existing approaches are primarily based on high variation (highly variable genes)… read more here.
Keywords: single cell; gene selection; cell rna; seq data ... See more keywords
Statistical Approaches for Gene Selection, Hub Gene Identification and Module Interaction in Gene Co-Expression Network Analysis: An Application to Aluminum Stress in Soybean (Glycine max L.)
Sign Up to like & getrecommendations! Published in 2017 at "PLoS ONE"
DOI: 10.1371/journal.pone.0169605
Abstract: Selection of informative genes is an important problem in gene expression studies. The small sample size and the large number of genes in gene expression data make the selection process complex. Further, the selected informative… read more here.
Keywords: identification; gene selection; gene; gene expression ... See more keywords