Results 21 to 30 of about 11,201,470 (335)
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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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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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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Prediction of lung cancer using gene expression and deep learning with KL divergence gene selection
BMC Bioinformatics, 2022 Lung cancer is one of the cancers with the highest mortality rate in China. With the rapid development of high-throughput sequencing technology and the research and application of deep learning methods in recent years, deep neural networks based on gene ...
Suli Liu, W. Yao
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Predictive and robust gene selection for spatial transcriptomics
bioRxiv, 2022 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 you to ...
Ian Covert +5 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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IEEE Access, 2021 These days, the classification between normal and cancerous tissues and between different types of cancers represents a very important issue. Selecting the little informative number of genes is considered the main challenge in the cancer diagnosis issue.
Essam H. Houssein +4 more
semanticscholar +1 more source
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
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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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bioRxiv, 2021 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.
Dongyuan Song +4 more
semanticscholar +1 more source