Results 11 to 20 of about 2,115,238 (295)
Selective gene amplification [PDF]
Protein Engineering Design and Selection, 2007 We describe a system for directed evolution based on in vitro compartmentalisation in which amplification of a gene is coupled to the formation of product by the enzyme it encodes. This approach mimics the process of natural selection; 'fitter' genes--encoding more efficient enzymes--have more 'offspring'.
Bernard T, Kelly, Andrew D, Griffiths
openaire +2 more sources
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
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
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
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
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
doaj +1 more source
RFCell: A Gene Selection Approach for scRNA-seq Clustering Based on Permutation and Random Forest
Frontiers in Genetics, 2021 In recent years, the application of single cell RNA-seq (scRNA-seq) has become more and more popular in fields such as biology and medical research. Analyzing scRNA-seq data can discover complex cell populations and infer single-cell trajectories in cell
Yuan Zhao +5 more
doaj +1 more source
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
openaire +5 more sources
Rapid Evolution of BRCA1 and BRCA2 in Humans and Other Primates [PDF]
, 2014 The maintenance of chromosomal integrity is an essential task of every living organism and cellular repair mechanisms exist to guard against insults to DNA.
Demogines, Ann M. +6 more
core +9 more sources