Results 11 to 20 of about 1,119,682 (262)
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +3 more sources
WERFE: A Gene Selection Algorithm Based on Recursive Feature Elimination and Ensemble Strategy
Frontiers in Bioengineering and Biotechnology, 2020 Gene selection algorithm in micro-array data classification problem finds a small set of genes which are most informative and distinctive. A well-performed gene selection algorithm should pick a set of genes that achieve high performance and the size of ...
Qi Chen +5 more
doaj +1 more source
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
openaire +2 more sources
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
openaire +2 more sources
Mutational Slime Mould Algorithm for Gene Selection
Biomedicines, 2022 A large volume of high-dimensional genetic data has been produced in modern medicine and biology fields. Data-driven decision-making is particularly crucial to clinical practice and relevant procedures.
Feng Qiu +7 more
doaj +1 more source
Frontiers in Genetics, 2021 Alzheimer’s is a progressive, irreversible, neurodegenerative brain disease. Even with prominent symptoms, it takes years to notice, decode, and reveal Alzheimer’s.
Nivedhitha Mahendran +3 more
doaj +1 more source
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
doaj +1 more source