AIMC Topic: 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...
Databases, Genetic Fuzzy Logic Colonic Neoplasms Linear Models Autistic Disorder Oligonucleotide Array Sequence Analysis Humans Female Breast Neoplasms Hematologic Neoplasms Gene Expression Profiling
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Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data.

BMC bioinformatics Mar 20, 2020
BACKGROUND: The ability to confidently predict health outcomes from gene expression would catalyze a revolution in molecular diagnostics. Yet, the goal of developing actionable, robust, and reproducible predictive signatures of phenotypes such as cli...
Deep Learning Supervised Machine Learning Humans Machine Learning Disease Phenotype Gene Expression Profiling
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Identification of a novel gene signature for the prediction of recurrence in HCC patients by machine learning of genome-wide databases.

Scientific reports Mar 10, 2020
Hepatocellular carcinoma (HCC) is a common malignant tumor in China. In the present study, we aimed to construct and verify a prediction model of recurrence in HCC patients using databases (TCGA, AMC and Inserm) and machine learning methods and obtai...
Disease-Free Survival Machine Learning Survival Rate Biomarkers, Tumor Gene Expression Profiling Liver Neoplasms Carcinoma, Hepatocellular Gene Expression Regulation, Neoplastic Neoplasm Recurrence, Local Humans
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A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections.

Nature communications Mar 4, 2020
Improved identification of bacterial and viral infections would reduce morbidity from sepsis, reduce antibiotic overuse, and lower healthcare costs. Here, we develop a generalizable host-gene-expression-based classifier for acute bacterial and viral ...
Acute Disease Datasets as Topic Host-Pathogen Interactions Virus Diseases RNA, Messenger Support Vector Machine Bacterial Infections Adult Male Middle Aged Gene Expression Profiling Sepsis Hospital Mortality ROC Curve Intensive Care Units Female Aged Aged, 80 and over Humans Neural Networks, Computer
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Big data in IBD: big progress for clinical practice.

Gut Feb 28, 2020
IBD is a complex multifactorial inflammatory disease of the gut driven by extrinsic and intrinsic factors, including host genetics, the immune system, environmental factors and the gut microbiome. Technological advancements such as next-generation se...
Gastrointestinal Microbiome Translational Research, Biomedical Image Interpretation, Computer-Assisted Humans Metagenomics Prognosis Machine Learning Big Data Inflammatory Bowel Diseases Genomics Precision Medicine Risk Assessment Proteomics Gene Expression Profiling
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Second-Generation Sequencing with Deep Reinforcement Learning for Lung Infection Detection.

Journal of healthcare engineering Feb 22, 2020
Recently, deep reinforcement learning, associated with medical big data generated and collected from medical Internet of Things, is prospective for computer-aided diagnosis and therapy. In this paper, we focus on the application value of the second-g...
Diagnosis, Computer-Assisted Deep Learning Sequence Analysis, DNA Lung Diseases Humans Prospective Studies Gene Expression Profiling
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Investigating the gene expression profiles of cells in seven embryonic stages with machine learning algorithms.

Genomics Feb 8, 2020
The development of embryonic cells involves several continuous stages, and some genes are related to embryogenesis. To date, few studies have systematically investigated changes in gene expression profiles during mammalian embryogenesis. In this stud...
Transcriptome Single-Cell Analysis Embryo, Mammalian Mice Embryonic Development Machine Learning Support Vector Machine Animals Gene Expression Profiling
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Combined Use of Three Machine Learning Modeling Methods to Develop a Ten-Gene Signature for the Diagnosis of Ventilator-Associated Pneumonia.

Medical science monitor : international medical journal of experimental and clinical research Feb 7, 2020
BACKGROUND This study aimed to use three modeling methods, logistic regression analysis, random forest analysis, and fully-connected neural network analysis, to develop a diagnostic gene signature for the diagnosis of ventilator-associated pneumonia ...
Protein Interaction Maps Databases, Genetic Area Under Curve Gene Expression Regulation Humans Machine Learning Algorithms Gene Expression Profiling Pneumonia, Ventilator-Associated Genome, Human Molecular Sequence Annotation Gene Ontology
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scAI: an unsupervised approach for the integrative analysis of parallel single-cell transcriptomic and epigenomic profiles.

Genome biology Feb 3, 2020
Simultaneous measurements of transcriptomic and epigenomic profiles in the same individual cells provide an unprecedented opportunity to understand cell fates. However, effective approaches for the integrative analysis of such data are lacking. Here,...
Single-Cell Analysis Genomics Unsupervised Machine Learning A549 Cells Epigenome Genetic Heterogeneity Humans Gene Expression Profiling Transcriptome
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Novel biomarker genes which distinguish between smokers and chronic obstructive pulmonary disease patients with machine learning approach.

BMC pulmonary medicine Feb 3, 2020
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is combination of progressive lung diseases. The diagnosis of COPD is generally based on the pulmonary function testing, however, difficulties underlie in prognosis of smokers or early stage of...
Adult Pulmonary Disease, Chronic Obstructive Male Middle Aged Machine Learning Epithelial Cells Biomarkers Humans Female Cigarette Smoking Lung Gene Expression Regulation Gene Expression Profiling Smokers Case-Control Studies Logistic Models
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