AIMC Topic: Gene Expression Profiling

Clear Filters Showing 731 to 740 of 1315 articles

Machine learning based refined differential gene expression analysis of pediatric sepsis.

BMC medical genomics Aug 28, 2020
BACKGROUND: Differential expression (DE) analysis of transcriptomic data enables genome-wide analysis of gene expression changes associated with biological conditions of interest. Such analysis often provides a wide list of genes that are differentia...
Computational Biology Sepsis Child ROC Curve Gene Regulatory Networks Biomarkers Gene Expression Profiling Transcriptome Humans Machine Learning
View on PubMed DOI

Biomarkers of the Response to Immune Checkpoint Inhibitors in Metastatic Urothelial Carcinoma.

Frontiers in immunology Aug 25, 2020
The mechanisms underlying the resistance to immune checkpoint inhibitors (ICIs) therapy in metastatic urothelial carcinoma (mUC) patients are not clear. It is of great significance to discern mUC patients who could benefit from ICI therapy in clinica...
Predictive Value of Tests Carcinoma Drug Resistance, Neoplasm Urothelium Male Clinical Decision-Making Treatment Outcome Humans Risk Assessment Antibodies, Monoclonal, Humanized Machine Learning Female Gene Expression Profiling Urinary Bladder Neoplasms Time Factors Decision Support Techniques Risk Factors Transcriptome Biomarkers, Tumor Immune Checkpoint Inhibitors B7-H1 Antigen Nomograms
View on PubMed DOI

Calculation of immune cell proportion from batch tumor gene expression profile based on support vector regression.

Journal of bioinformatics and computational biology Aug 21, 2020
In addition to tumor cells, a large number of immune cells are found in the tumor microenvironment (TME) of cancer patients. Tumor-infiltrating immune cells play an important role in tumor progression and patient outcome. We improved the relative pro...
Flow Cytometry Immunohistochemistry Neutrophils Support Vector Machine CD8-Positive T-Lymphocytes Humans Algorithms Databases, Factual Colorectal Neoplasms Tumor Microenvironment Gene Expression Profiling Gene Expression Regulation, Neoplastic
View on PubMed DOI

Detecting Interactive Gene Groups for Single-Cell RNA-Seq Data Based on Co-Expression Network Analysis and Subgraph Learning.

Cells Aug 21, 2020
High-throughput sequencing technologies have enabled the generation of single-cell RNA-seq (scRNA-seq) data, which explore both genetic heterogeneity and phenotypic variation between cells. Some methods have been proposed to detect the related genes ...
Humans Machine Learning Gene Expression Profiling Single-Cell Analysis RNA-Seq High-Throughput Nucleotide Sequencing
View on PubMed DOI

Establishment and Analysis of a Combined Diagnostic Model of Polycystic Ovary Syndrome with Random Forest and Artificial Neural Network.

BioMed research international Aug 20, 2020
Polycystic ovary syndrome (PCOS) is one of the most common metabolic and reproductive endocrinopathies. However, few studies have tried to develop a diagnostic model based on gene biomarkers. In this study, we applied a computational method by combin...
Polycystic Ovary Syndrome Databases, Nucleic Acid Gene Expression Profiling Humans Diagnosis, Computer-Assisted Neural Networks, Computer Gene Regulatory Networks Biomarkers Models, Biological Female
View on PubMed DOI

Construction of gene-classifier and co-expression network analysis of genes in association with major depressive disorder.

Psychiatry research Aug 13, 2020
Because the pathogenesis of major depressive disorder (MDD) is still unclear and the accurate diagnosis remains unavailable, we aimed to analyze its molecular mechanisms and develop a gene classifier to improve diagnostic accuracy. We extracted diffe...
Humans Female Male Depressive Disorder, Major Gene Ontology Gene Expression Profiling Gene Regulatory Networks Genetic Association Studies
View on PubMed DOI

A Linear Regression and Deep Learning Approach for Detecting Reliable Genetic Alterations in Cancer Using DNA Methylation and Gene Expression Data.

Genes Aug 12, 2020
DNA methylation change has been useful for cancer biomarker discovery, classification, and potential treatment development. So far, existing methods use either differentially methylated CpG sites or combined CpG sites, namely differentially methylate...
Gene Ontology DNA Methylation Genetic Variation Neoplasms Linear Models Humans Gene Expression Profiling Algorithms Deep Learning Biomarkers, Tumor ROC Curve Computational Biology Epigenesis, Genetic Gene Expression Regulation, Neoplastic Databases, Genetic
View on PubMed DOI

A deep learning model to predict RNA-Seq expression of tumours from whole slide images.

Nature communications Aug 3, 2020
Deep learning methods for digital pathology analysis are an effective way to address multiple clinical questions, from diagnosis to prediction of treatment outcomes. These methods have also been used to predict gene mutations from pathology images, b...
Humans Algorithms Neoplasms Computational Biology Gene Expression Profiling Gene Expression Regulation, Neoplastic Deep Learning Models, Genetic RNA-Seq Microsatellite Instability Image Processing, Computer-Assisted
View on PubMed DOI

An enhanced machine learning tool for cis-eQTL mapping with regularization and confounder adjustments.

Genetic epidemiology Jul 22, 2020
Many expression quantitative trait loci (eQTL) studies have been conducted to investigate the biological effects of variants in gene regulation. However, these eQTL studies may suffer from low or moderate statistical power and overly conservative fal...
Polymorphism, Single Nucleotide Genotype Models, Genetic Gene Expression Regulation Quantitative Trait Loci Confounding Factors, Epidemiologic Machine Learning Algorithms Phenotype Gene Expression Profiling Humans
View on PubMed DOI

Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learning.

Gut Jul 20, 2020
OBJECTIVE: Complex phenotypes captured on histological slides represent the biological processes at play in individual cancers, but the link to underlying molecular classification has not been clarified or systematised. In colorectal cancer (CRC), hi...
Humans Phenotype Gene Expression Regulation, Neoplastic Predictive Value of Tests Neoplasm Grading Biopsy RNA Datasets as Topic Disease Progression Gene Expression Profiling Prognosis Deep Learning Colorectal Neoplasms Consensus Biomarkers, Tumor
View on PubMed DOI
Popular Topics
Recent Journals