Results 271 to 280 of about 11,201,470 (335)

Classification and gene selection of triple-negative breast cancer subtype embedding gene connectivity matrix in deep neural network

Briefings Bioinform., 2021
Triple-negative breast cancer (TNBC) has been a challenging breast cancer subtype for oncological therapy. Normally, it can be classified into different molecular subtypes.
Jin Liu, R. Su, Jiahang Zhang, Leyi Wei
semanticscholar   +1 more source

Gene-culture coevolution under selection

Theoretical Population Biology, 2018
The joint evolutionary dynamics of phenotypes and genotypes are usually couched in terms of genetic variance contributions to changes in the phenotypic mean. Here, we study the evolution of a dichotomous phenotype whose transmission is controlled by one multi-allelic locus. The phenotype is under selection, which may be genotype-dependent.
Hilla, Behar, Marcus W, Feldman
openaire   +2 more sources

Natural selection on gene expression

Trends in Genetics, 2006
Changes in genetic regulation contribute to adaptations in natural populations and influence susceptibility to human diseases. Despite their potential phenotypic importance, the selective pressures acting on regulatory processes in general and gene expression levels in particular are largely unknown.
Yoav, Gilad, Alicia, Oshlack, Scott A, Rifkin   +2 more
openaire   +2 more sources

Selective gene mutation in MEL cells

Mutation Research - Fundamental and Molecular Mechanisms of Mutagenesis, 1992
MEL cells, undergoing erythroid differentiation and parasynchronized by dimethyl sulfoxide (DMSO) induction, were irradiated with a 3-s pulse of UV light at sublethal dose. A large number of clones deficient in different gene functions are found in the progeny of the treated cells, if the pulse irradiation is performed 18-24 h from the start of DMSO ...
FORESTI, MAGDA, GAUDIO, LUCIANO, GERACI, GIUSEPPE   +2 more
openaire   +4 more sources

Gene selection for Brain Cancer Classification

2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
With the introduction of microarray, cancer classification, diagnosis and prediction are made more accurate and effective. However, the final outcome of the data analyses very much depend on the huge number of genes with relatively small number of samples present in each experiment.
Hung, YS, Chang, CQ, Leung, YY, Fung, PC
openaire   +4 more sources

Gene Expression Data For Gene Selection Using Ensemble Based Feature Selection

2019 Ninth International Conference on Intelligent Computing and Information Systems (ICICIS), 2019
The technology of next generation sequencing brought about evolution in research that based on sequence which replaces the microarray due to its advantages. The RNA-Seq is a high-throughput gene expression data that uses NGS technologies. The problem of high-throughput RNA-Seq datasets is the high of dimensionally (variables > observations) that need ...
Mohamad Aouf, Amr Sharawi, Khaled Samir, Sultan Almotatiri, Abdulla Bajahzar, Ghada Kareem   +5 more
openaire   +1 more source

Structured Penalized Logistic Regression for Gene Selection in Gene Expression Data Analysis

IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2019
In gene expression data analysis, the problems of cancer classification and gene selection are closely related. Successfully selecting informative genes will significantly improve the classification performance. To identify informative genes from a large
Cheng Liu, Hau-San Wong
semanticscholar   +1 more source

Natural Selection versus Gene Uniqueness

Nature, 1970
SMITH1 has compared protein evolution with a popular word game. Just as the object of the game is to pass from one word to another by changing one letter at a time, so in the process of evolution one protein is changed to another by changing only one gene nucleotide at a time.
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Feature (Gene) Selection in Gene Expression-Based Tumor Classification

Molecular Genetics and Metabolism, 2001
There is increasing interest in changing the emphasis of tumor classification from morphologic to molecular. Gene expression profiles may offer more information than morphology and provide an alternative to morphology-based tumor classification systems.
M, Xiong, W, Li, J, Zhao, L, Jin, E, Boerwinkle   +4 more
openaire   +2 more sources

Nature-inspired metaheuristics model for gene selection and classification of biomedical microarray data

Medical and Biological Engineering and Computing, 2022
R. Aziz
semanticscholar   +1 more source