Results 21 to 30 of about 1,213,334 (312)
Frontiers in Genetics, 2021 To tackle the challenges in genomic data analysis caused by their tens of thousands of dimensions while having a small number of examples and unbalanced examples between classes, the technique of unsupervised feature selection based on standard deviation
Juanying Xie +5 more
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Frontiers in Genetics, 2021 Cancer subtype identification is important to facilitate cancer diagnosis and select effective treatments. Clustering of cancer patients based on high-dimensional RNA-sequencing data can be used to detect novel subtypes, but only a subset of the features
David Källberg +4 more
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Gene selection in cox regression model based on a new adaptive elastic net penalty [PDF]
المجلة العراقية للعلوم الاحصائية, 2020 Regression analysis is great of interest in several studies, especially in medicine. The Cox regression model is one of the most important models of regression used in the medical field.
Oday Alskal, Zakariya Algamal
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Frontiers in Neuroscience, 2022 An IA is an abnormal swelling of cerebral vessels, and a subset of these IAs can rupture causing aneurysmal subarachnoid hemorrhage (aSAH), often resulting in death or severe disability.
Qingqing Li +9 more
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A Probabilistic Multi-Objective Artificial Bee Colony Algorithm for Gene Selection [PDF]
Journal of Universal Computer Science, 2019 Microarray technology is widely used to report gene expression data. The inclusion of many features and few samples is one of the characteristic features of this platform. In order to define significant genes for a particular disease, the problem of high-
Zeynep Ozger, Bulent Bolat, Banu Diri
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Determination of the Selection Capacity of Antibiotics for Gene Selection [PDF]
Biotechnology Journal, 2018 Choosing a potent selection antibiotic (SA), is a crucial success factor when creating stably transfected cell lines using an antibiotic selection marker. The selection capacity of this antibiotic is defined as its ability to kill sensitive, untransfected parental cells, while leaving resistant, transfected cells unharmed.
Iris, Delrue +4 more
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Gene-specific expression noise evolves in a model with selection. [PDF]
, 2023 A—The distribution of expression levels of an example gene throughout evolution in populations evolved under stabilizing selection on gene expression level and under neutrality.
Tanvi Madaan (15332567) +2 more
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Gene selection: a Bayesian variable selection approach [PDF]
Bioinformatics, 2003 Abstract Selection of significant genes via expression patterns is an important problem in microarray experiments. Owing to small sample size and the large number of variables (genes), the selection process can be unstable. This paper proposes a hierarchical Bayesian model for gene (variable) selection.
Kyeong Eun Lee +4 more
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A Machine Learning Method to Trace Cancer Primary Lesion Using Microarray-Based Gene Expression Data
Frontiers in Oncology, 2022 Cancer of unknown primary site (CUP) is a heterogeneous group of cancers whose tissue of origin remains unknown after detailed investigation by conventional clinical methods. The number of CUP accounts for roughly 3%–5% of all human malignancies.
Qingfeng Lu +6 more
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Translational selection on SHH genes [PDF]
Genetics and Molecular Biology, 2010 Codon usage bias has been observed in various organisms. In this study, the correlation between SHH genes expression in some tissues and codon usage features was analyzed by bioinformatics. We found that translational selection may act on compositional features of this set of genes.
Hajjari, Mohammadreza +2 more
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