AIMC Topic: Transcriptome

Clear Filters Showing 641 to 650 of 925 articles

Capsule Network Based Modeling of Multi-omics Data for Discovery of Breast Cancer-Related Genes.

IEEE/ACM transactions on computational biology and bioinformatics Apr 9, 2019
Breast cancer is one of the most common cancers all over the world, which bring about more than 450,000 deaths each year. Although this malignancy has been extensively studied by a large number of researchers, its prognosis is still poor. Since thera...
Humans Prognosis Female Computational Biology DNA Methylation DNA Copy Number Variations Genes, Neoplasm Breast Neoplasms Biomarkers, Tumor Transcriptome Deep Learning
View on PubMed DOI

Application of a Neural Network Whole Transcriptome-Based Pan-Cancer Method for Diagnosis of Primary and Metastatic Cancers.

JAMA network open Apr 5, 2019
IMPORTANCE: A molecular diagnostic method that incorporates information about the transcriptional status of all genes across multiple tissue types can strengthen confidence in cancer diagnosis.
Exome Sequencing Transcriptome Lung Neoplasms Mesothelioma Mesothelioma, Malignant Machine Learning Female Adult Biomarkers, Tumor Cross-Sectional Studies Male Middle Aged Neoplasms Humans Neural Networks, Computer
View on PubMed DOI

Gene Expression Classification of Lung Adenocarcinoma into Molecular Subtypes.

IEEE/ACM transactions on computational biology and bioinformatics Mar 18, 2019
As one of the most common malignancies in the world, lung adenocarcinoma (LUAD) is currently difficult to cure. However, the advent of precision medicine provides an opportunity to improve the treatment of lung cancer. Subtyping lung cancer plays an ...
Humans Neural Networks, Computer Algorithms Biomarkers, Tumor Gene Expression Profiling Lung Neoplasms Transcriptome Cluster Analysis Mutation Adenocarcinoma of Lung
View on PubMed DOI

Scalable analysis of cell-type composition from single-cell transcriptomics using deep recurrent learning.

Nature methods Mar 18, 2019
Recent advances in large-scale single-cell RNA-seq enable fine-grained characterization of phenotypically distinct cellular states in heterogeneous tissues. We present scScope, a scalable deep-learning-based approach that can accurately and rapidly i...
Principal Component Analysis Retina RNA Inflammation Databases, Genetic Cluster Analysis Brain Mapping Computational Biology Sequence Analysis, RNA Intestines Reproducibility of Results Animals Leukocytes, Mononuclear Gene Expression Profiling Transcriptome Deep Learning Single-Cell Analysis Mice Software Algorithms Phenotype Computer Simulation
View on PubMed DOI

Machine learning applied to transcriptomic data to identify genes associated with feed efficiency in pigs.

Genetics, selection, evolution : GSE Mar 13, 2019
BACKGROUND: To date, the molecular mechanisms that underlie residual feed intake (RFI) in pigs are unknown. Results from different genome-wide association studies and gene expression analyses are not always consistent. The aim of this research was to...
Animal Feed Animal Nutritional Physiological Phenomena Breeding Machine Learning Animals Swine Gene Expression Profiling Transcriptome
View on PubMed DOI

Identification of esophageal cancer pathway deviation and construction of a diagnosis model using three kernel genes.

Journal of cellular physiology Mar 5, 2019
The purpose of this study is to better understand the role of interleukin 35 (IL35) in esophageal carcinoma by comparing the mRNA level in Barrett's esophageal mucosa and in matched normal squamous mucosa and to understand how the diagnosis model wor...
Reproducibility of Results Biomarkers, Tumor Gene Expression Profiling Transcriptome Humans Databases, Genetic Early Detection of Cancer Nerve Tissue Proteins Predictive Value of Tests Case-Control Studies Deep Learning Gene Expression Regulation, Neoplastic Models, Genetic Hepatocyte Nuclear Factor 1-beta Interleukin-12 Subunit p35 Esophageal Neoplasms Cyclic AMP Response Element-Binding Protein Esophageal Squamous Cell Carcinoma
View on PubMed DOI

Whale optimized mixed kernel function of support vector machine for colorectal cancer diagnosis.

Journal of biomedical informatics Feb 20, 2019
Microarray technique is a prevalent method for the classification and prediction of colorectal cancer (CRC). Nevertheless, microarray data suffers from the curse of dimensionality when selecting feature genes of the disease based on imbalance samples...
Transcriptome Humans Support Vector Machine Software Algorithms Colorectal Neoplasms Gene Expression Profiling
View on PubMed DOI

Machine learning analysis of gene expression data reveals novel diagnostic and prognostic biomarkers and identifies therapeutic targets for soft tissue sarcomas.

PLoS computational biology Feb 20, 2019
Based on morphology it is often challenging to distinguish between the many different soft tissue sarcoma subtypes. Moreover, outcome of disease is highly variable even between patients with the same disease. Machine learning on transcriptome sequenc...
Machine Learning Transcriptome Kaplan-Meier Estimate Computational Biology Prognosis Male Humans Female Databases, Genetic Middle Aged Biomarkers, Tumor Sarcoma Drug Discovery Gene Expression Profiling
View on PubMed DOI

Novel Regularization Method for Biomarker Selection and Cancer Classification.

IEEE/ACM transactions on computational biology and bioinformatics Feb 4, 2019
Variable selection has attracted more attention in big data and machine learning fields. In high dimensional data analysis, many relevant variables or variable groups are widely found. For example, people pay more interests to biological pathway or r...
Gene Regulatory Networks Computational Biology Algorithms Biomarkers, Tumor Humans Neoplasms Machine Learning Transcriptome
View on PubMed DOI

Predicting drug response of tumors from integrated genomic profiles by deep neural networks.

BMC medical genomics Jan 31, 2019
BACKGROUND: The study of high-throughput genomic profiles from a pharmacogenomics viewpoint has provided unprecedented insights into the oncogenic features modulating drug response. A recent study screened for the response of a thousand human cancer ...
Deep Learning Docetaxel Humans Cell Line, Tumor Antineoplastic Agents Benzothiazoles Genomics Transcriptome Naphthyridines Mutation
View on PubMed DOI
Popular Topics
Recent Journals