AIMC Topic: Gene Expression

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Logistic regression paradigm for training a single-hidden layer feedforward neural network. Application to gene expression datasets for cancer research.

Journal of biomedical informatics Dec 31, 2019
OBJECTIVE: The speed of the diagnosis process is vital in pursuing the trial of curing cancer. During the last decade, precision medicine evolved by detecting different types of cancer through microarrays (MA) of deoxyribonucleic acid (DNA) processed...
Neoplasms Logistic Models Gene Expression Neural Networks, Computer Machine Learning Algorithms
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Seeking for potential pathogenic genes of major depressive disorder in the Gene Expression Omnibus database.

Asia-Pacific psychiatry : official journal of the Pacific Rim College of Psychiatrists Dec 30, 2019
INTRODUCTION: Major depressive disorder (MDD) is one of the most common mental disorders worldwide. The aim of this study was to identify potential pathological genes in MDD.
Female Reproducibility of Results Aged Male Computational Biology Databases, Genetic Humans Gene Expression Gene Ontology Middle Aged Depressive Disorder, Major Reverse Transcriptase Polymerase Chain Reaction Protein Interaction Maps
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Construction of arming Yarrowia lipolytica surface-displaying soybean seed coat peroxidase for use as whole-cell biocatalyst.

Enzyme and microbial technology Dec 20, 2019
Whole-cell biocatalysts could be used in wide-ranging applications. In this study, a new kind of whole-cell biocatalyst was successfully constructed by genetically immobilizing soybean seed coat peroxidase (SBP) on the cell surface of Yarrowia lipoly...
Plasmids Soybean Proteins Yarrowia Gene Expression Biocatalysis Cloning, Molecular Enzyme Stability Peroxidases
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High-level expression of Thermobifida fusca glucose isomerase for high fructose corn syrup biosynthesis.

Enzyme and microbial technology Dec 13, 2019
Glucose isomerase (GIase), an efficient enzyme in the isomerization of d-glucose to d-fructose, has been widely used in food processing. In this study, an efficient expression system for a Thermobifida fusca GIase (GIase) in Escherichia coli was firs...
Recombinant Proteins Catalytic Domain Bacterial Proteins Fructose Glucose Escherichia coli High Fructose Corn Syrup Actinobacteria Gene Expression Aldose-Ketose Isomerases
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Dissection of gene expression datasets into clinically relevant interaction signatures via high-dimensional correlation maximization.

Nature communications Nov 28, 2019
Gene expression is controlled by many simultaneous interactions, frequently measured collectively in biology and medicine by high-throughput technologies. It is a highly challenging task to infer from these data the generating effects and cooperating...
Humans Algorithms Lymphoma, Large B-Cell, Diffuse Gene Expression Profiling Correlation of Data Data Visualization Computational Biology Unsupervised Machine Learning Gene Expression Datasets as Topic
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Ranking of non-coding pathogenic variants and putative essential regions of the human genome.

Nature communications Nov 20, 2019
A gene is considered essential if loss of function results in loss of viability, fitness or in disease. This concept is well established for coding genes; however, non-coding regions are thought less likely to be determinants of critical functions. H...
Humans Computer Simulation Introns INDEL Mutation Enhancer Elements, Genetic Supervised Machine Learning DNA Genes, Reporter Genetic Variation Chromatin Gene Expression Genome, Human Nucleic Acid Conformation Mutation
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D-GPM: A Deep Learning Method for Gene Promoter Methylation Inference.

Genes Oct 14, 2019
Whole-genome bisulfite sequencing generates a comprehensive profiling of the gene methylation levels, but is limited by a high cost. Recent studies have partitioned the genes into landmark genes and target genes and suggested that the landmark gene e...
Linear Models CpG Islands Gene Expression Regulation Promoter Regions, Genetic Humans Machine Learning Gene Expression Profiling Deep Learning Computational Biology Sequence Analysis, DNA DNA Methylation Gene Expression
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A Machine Learning Classifier for Assigning Individual Patients With Systemic Sclerosis to Intrinsic Molecular Subsets.

Arthritis & rheumatology (Hoboken, N.J.) Sep 2, 2019
OBJECTIVE: High-throughput gene expression profiling of tissue samples from patients with systemic sclerosis (SSc) has identified 4 "intrinsic" gene expression subsets: inflammatory, fibroproliferative, normal-like, and limited. Prior methods require...
Supervised Machine Learning Machine Learning High-Throughput Nucleotide Sequencing Gene Expression Profiling Algorithms Transcriptome Datasets as Topic Humans Female Gene Expression Scleroderma, Systemic Aged Young Adult Adult Male Middle Aged
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Machine learning approaches to predict lupus disease activity from gene expression data.

Scientific reports Jul 3, 2019
The integration of gene expression data to predict systemic lupus erythematosus (SLE) disease activity is a significant challenge because of the high degree of heterogeneity among patients and study cohorts, especially those collected on different mi...
Humans Lupus Erythematosus, Systemic Machine Learning Gene Expression Regulation Disease Progression Molecular Sequence Annotation Gene Expression Profiling Transcriptome ROC Curve Gene Regulatory Networks Computational Biology Gene Expression
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C-HMOSHSSA: Gene selection for cancer classification using multi-objective meta-heuristic and machine learning methods.

Computer methods and programs in biomedicine Jun 29, 2019
BACKGROUND AND OBJECTIVE: Over the last two decades, DNA microarray technology has emerged as a powerful tool for early cancer detection and prevention. It helps to provide a detailed overview of disease complex microenvironment. Moreover, online ava...
Oligonucleotide Array Sequence Analysis Predatory Behavior Social Behavior Humans Support Vector Machine Early Detection of Cancer Machine Learning Sensitivity and Specificity Gene Expression Software Databases, Factual Heuristics Tumor Microenvironment Algorithms Computer Simulation Male Biomarkers, Tumor Female Animals Neoplasms Reproducibility of Results Computational Biology
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