AIMC Topic: Oligonucleotide Array Sequence Analysis

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Deep learning-based microarray cancer classification and ensemble gene selection approach.

IET systems biology Jul 4, 2022
Malignancies and diseases of various genetic origins can be diagnosed and classified with microarray data. There are many obstacles to overcome due to the large size of the gene and the small number of samples in the microarray. A combination strateg...
Male Gene Expression Profiling Deep Learning Prostatic Neoplasms Oligonucleotide Array Sequence Analysis Humans Algorithms
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Comparative Study of Classification Algorithms for Various DNA Microarray Data.

Genes Mar 11, 2022
Microarrays are applications of electrical engineering and technology in biology that allow simultaneous measurement of expression of numerous genes, and they can be used to analyze specific diseases. This study undertakes classification analyses of ...
Neural Networks, Computer Machine Learning Algorithms Support Vector Machine Oligonucleotide Array Sequence Analysis
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Deep-Learning-Based Cancer Profiles Classification Using Gene Expression Data Profile.

Journal of healthcare engineering Jan 7, 2022
The quantity of data required to give a valid analysis grows exponentially as machine learning dimensionality increases. In a single experiment, microarrays or gene expression profiling assesses and determines gene expression levels and patterns in v...
Oligonucleotide Array Sequence Analysis Neoplasms Gene Expression Profiling Deep Learning Gene Expression Humans Algorithms
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Systems biology and machine learning approaches identify drug targets in diabetic nephropathy.

Scientific reports Dec 6, 2021
Diabetic nephropathy (DN), the leading cause of end-stage renal disease, has become a massive global health burden. Despite considerable efforts, the underlying mechanisms have not yet been comprehensively understood. In this study, a systematic appr...
Humans Machine Learning Algorithms Animals Gene Regulatory Networks Mice Diabetic Nephropathies Computational Biology Systems Biology Male Global Health Drug Design Gene Expression Profiling Chemistry, Pharmaceutical MicroRNAs Microarray Analysis Kidney Cortex Regression Analysis Epigenesis, Genetic Oligonucleotide Array Sequence Analysis Kidney Medulla Principal Component Analysis Signal Transduction Mice, Inbred DBA Linear Models Support Vector Machine Cluster Analysis
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A robust and stable gene selection algorithm based on graph theory and machine learning.

Human genomics Nov 9, 2021
BACKGROUND: Nowadays we are observing an explosion of gene expression data with phenotypes. It enables us to accurately identify genes responsible for certain medical condition as well as classify them for drug target. Like any other phenotype data i...
Machine Learning Algorithms Phenotype Oligonucleotide Array Sequence Analysis
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An Unbiased Machine Learning Exploration Reveals Gene Sets Predictive of Allograft Tolerance After Kidney Transplantation.

Frontiers in immunology Jul 8, 2021
Efforts at finding potential biomarkers of tolerance after kidney transplantation have been hindered by limited sample size, as well as the complicated mechanisms underlying tolerance and the potential risk of rejection after immunosuppressant withdr...
Time Factors Oligonucleotide Array Sequence Analysis Graft Survival Risk Factors Humans Transplantation Tolerance Immunosuppressive Agents Risk Assessment Machine Learning Predictive Value of Tests Treatment Outcome Kidney Transplantation Graft Rejection Gene Expression Profiling Databases, Genetic Clinical Decision-Making Patient Selection Transcriptome
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Comparison of machine-learning methodologies for accurate diagnosis of sepsis using microarray gene expression data.

PloS one May 17, 2021
We investigate the feasibility of molecular-level sample classification of sepsis using microarray gene expression data merged by in silico meta-analysis. Publicly available data series were extracted from NCBI Gene Expression Omnibus and EMBL-EBI Ar...
Female Male Gene Expression Profiling Sepsis Humans Gene Expression Regulation Machine Learning Oligonucleotide Array Sequence Analysis Databases, Nucleic Acid
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Cancer Classification with a Cost-Sensitive Naive Bayes Stacking Ensemble.

Computational and mathematical methods in medicine Apr 24, 2021
Ensemble learning combines multiple learners to perform combinatorial learning, which has advantages of good flexibility and higher generalization performance. To achieve higher quality cancer classification, in this study, the fast correlation-based...
Bayes Theorem Oligonucleotide Array Sequence Analysis Oncogenes Neural Networks, Computer Gene Expression Regulation, Neoplastic Male Machine Learning Humans Support Vector Machine Neoplasms Algorithms Databases, Genetic ROC Curve Female Decision Trees Computational Biology
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Virtual Transcriptomics: Noninvasive Phenotyping of Atherosclerosis by Decoding Plaque Biology From Computed Tomography Angiography Imaging.

Arteriosclerosis, thrombosis, and vascular biology Mar 11, 2021
[Figure: see text].
Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Feasibility Studies Coronary Vessels Plaque, Atherosclerotic Oligonucleotide Array Sequence Analysis Computed Tomography Angiography Transcriptome Pilot Projects Models, Genetic Predictive Value of Tests Female Aged Male Gene Expression Profiling Humans Artificial Intelligence Phenotype
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Integrative transcriptomic, proteomic, and machine learning approach to identifying feature genes of atrial fibrillation using atrial samples from patients with valvular heart disease.

BMC cardiovascular disorders Jan 28, 2021
BACKGROUND: Atrial fibrillation (AF) is the most common arrhythmia with poorly understood mechanisms. We aimed to investigate the biological mechanism of AF and to discover feature genes by analyzing multi-omics data and by applying a machine learnin...
Humans Machine Learning Female Male Middle Aged Databases, Genetic Gene Regulatory Networks Bayes Theorem Genetic Association Studies Atrial Fibrillation Proteomics Heart Atria Heart Valve Diseases Signal Transduction Oligonucleotide Array Sequence Analysis Gene Expression Profiling Transcriptome Case-Control Studies Protein Interaction Maps
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