AIMC Topic: Oligonucleotide Array Sequence Analysis

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Identification of drug combinations on the basis of machine learning to maximize anti-aging effects.

PloS one Jan 28, 2021
Aging is a multifactorial process that involves numerous genetic changes, so identifying anti-aging agents is quite challenging. Age-associated genetic factors must be better understood to search appropriately for anti-aging agents. We utilized an ag...
Humans Antineoplastic Combined Chemotherapy Protocols HL-60 Cells Oligonucleotide Array Sequence Analysis Gene Expression Regulation, Leukemic Machine Learning Leukemia, Myeloid, Acute Aging Gene Expression Profiling
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Characterization of Antiphospholipid Syndrome Atherothrombotic Risk by Unsupervised Integrated Transcriptomic Analyses.

Arteriosclerosis, thrombosis, and vascular biology Dec 24, 2020
OBJECTIVE: Our aim was to characterize distinctive clinical antiphospholipid syndrome phenotypes and identify novel microRNA (miRNA)-mRNA-intracellular signaling regulatory networks in monocytes linked to cardiovascular disease. Approach and Results:...
Gene Expression Regulation Oligonucleotide Array Sequence Analysis Antiphospholipid Syndrome Cluster Analysis MicroRNAs Unsupervised Machine Learning Thrombosis Risk Assessment Gene Expression Profiling Transcriptome Case-Control Studies Protein Interaction Maps Gene Regulatory Networks Monocytes Signal Transduction Risk Factors Adult Male Middle Aged Humans Cells, Cultured Female
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Identification of early liver toxicity gene biomarkers using comparative supervised machine learning.

Scientific reports Nov 5, 2020
Screening agrochemicals and pharmaceuticals for potential liver toxicity is required for regulatory approval and is an expensive and time-consuming process. The identification and utilization of early exposure gene signatures and robust predictive mo...
Algorithms Animals Male Gene Expression Regulation Oligonucleotide Array Sequence Analysis Chemical and Drug Induced Liver Injury Agrochemicals Rats Liver Genetic Markers Supervised Machine Learning
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Representation of features as images with neighborhood dependencies for compatibility with convolutional neural networks.

Nature communications Sep 1, 2020
Deep learning with Convolutional Neural Networks has shown great promise in image-based classification and enhancement but is often unsuitable for predictive modeling using features without spatial correlations. We present a feature representation ap...
Oligonucleotide Array Sequence Analysis High-Throughput Nucleotide Sequencing Datasets as Topic Drug Resistance, Neoplasm Antineoplastic Agents Gene Expression Profiling Deep Learning Cell Line, Tumor Image Processing, Computer-Assisted Cell Proliferation Drug Screening Assays, Antitumor Bayes Theorem Humans Biomarkers, Tumor Neoplasms
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Classification of Microarray Gene Expression Data Using an Infiltration Tactics Optimization (ITO) Algorithm.

Genes Jul 18, 2020
A number of different feature selection and classification techniques have been proposed in literature including parameter-free and parameter-based algorithms. The former are quick but may result in local maxima while the latter use dataset-specific ...
Oligonucleotide Array Sequence Analysis Humans Machine Learning Gene Expression Profiling
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Stable gene selection by self-representation method in fuzzy sample classification.

Medical & biological engineering & computing Mar 24, 2020
In recent years, microarray technology and gene expression profiles have been widely used to detect, predict, or classify the samples of various diseases. The presence of large genes in these profiles and the small number of samples are known challen...
Hematologic Neoplasms Gene Expression Profiling Databases, Genetic Fuzzy Logic Colonic Neoplasms Linear Models Autistic Disorder Oligonucleotide Array Sequence Analysis Humans Female Breast Neoplasms
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Machine learning workflows to estimate class probabilities for precision cancer diagnostics on DNA methylation microarray data.

Nature protocols Jan 13, 2020
DNA methylation data-based precision cancer diagnostics is emerging as the state of the art for molecular tumor classification. Standards for choosing statistical methods with regard to well-calibrated probability estimates for these typically highly...
Probability Oligonucleotide Array Sequence Analysis Precision Medicine Brain Neoplasms DNA Methylation Workflow Humans Machine Learning
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FOLFOX treatment response prediction in metastatic or recurrent colorectal cancer patients via machine learning algorithms.

Cancer medicine Jan 1, 2020
Early identification of metastatic or recurrent colorectal cancer (CRC) patients who will be sensitive to FOLFOX (5-FU, leucovorin and oxaliplatin) therapy is very important. We performed microarray meta-analysis to identify differentially expressed ...
Gene Expression Profiling Gene Expression Regulation, Neoplastic Antineoplastic Combined Chemotherapy Protocols Neoplasm Recurrence, Local Fluorouracil Protein Kinases Datasets as Topic Organoplatinum Compounds Machine Learning Leucovorin Humans Cell Cycle Proteins Prognosis Oligonucleotide Array Sequence Analysis Colorectal Neoplasms Biomarkers, Tumor Intracellular Signaling Peptides and Proteins Response Evaluation Criteria in Solid Tumors
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Gene expression based survival prediction for cancer patients-A topic modeling approach.

PloS one Nov 15, 2019
Cancer is one of the leading cause of death, worldwide. Many believe that genomic data will enable us to better predict the survival time of these patients, which will lead to better, more personalized treatment options and patient care. As standard ...
Datasets as Topic Kaplan-Meier Estimate Oligonucleotide Array Sequence Analysis Gene Expression Profiling Gene Expression Regulation, Neoplastic Natural Language Processing Models, Biological Humans Prognosis Neoplasms
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A machine learning approach for the identification of population-informative markers from high-throughput genotyping data: application to several pig breeds.

Animal : an international journal of animal bioscience Oct 11, 2019
Single nucleotide polymorphisms (SNPs) able to describe population differences can be used for important applications in livestock, including breed assignment of individual animals, authentication of mono-breed products and parentage verification amo...
Genotype Italy Genetic Markers Genotyping Techniques Swine Genomics Polymorphism, Single Nucleotide Breeding Oligonucleotide Array Sequence Analysis Machine Learning Phenotype Female Animals Male
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