AIMC Topic: Transcriptome

Clear Filters Showing 591 to 600 of 856 articles

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...
Computational Biology Sequence Analysis, RNA Intestines Deep Learning Single-Cell Analysis Mice Brain Mapping Principal Component Analysis Retina RNA Inflammation Databases, Genetic Cluster Analysis Phenotype Computer Simulation Reproducibility of Results Gene Expression Profiling Transcriptome Animals Leukocytes, Mononuclear Software Algorithms
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 Nutritional Physiological Phenomena Breeding Gene Expression Profiling Transcriptome Animal Feed Machine Learning Animals Swine
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...
Models, Genetic Databases, Genetic Early Detection of Cancer Case-Control Studies Deep Learning Gene Expression Regulation, Neoplastic Cyclic AMP Response Element-Binding Protein Esophageal Squamous Cell Carcinoma Hepatocyte Nuclear Factor 1-beta Nerve Tissue Proteins Humans Interleukin-12 Subunit p35 Predictive Value of Tests Gene Expression Profiling Esophageal Neoplasms Reproducibility of Results Transcriptome Biomarkers, Tumor
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 Support Vector Machine Algorithms Colorectal Neoplasms Gene Expression Profiling Humans Software
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...
Humans Female Databases, Genetic Machine Learning Male Sarcoma Biomarkers, Tumor Gene Expression Profiling Prognosis Middle Aged Kaplan-Meier Estimate Drug Discovery Transcriptome Computational Biology
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...
Computational Biology Neoplasms Transcriptome Gene Regulatory Networks Algorithms Humans Biomarkers, Tumor Machine Learning
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 ...
Docetaxel Benzothiazoles Naphthyridines Humans Antineoplastic Agents Genomics Deep Learning Transcriptome Mutation Cell Line, Tumor
View on PubMed DOI

A Computational Framework for Genome-wide Characterization of the Human Disease Landscape.

Cell systems Jan 23, 2019
A key challenge for the diagnosis and treatment of complex human diseases is identifying their molecular basis. Here, we developed a unified computational framework, URSA (Unveiling RNA Sample Annotation for Human Diseases), that leverages machine le...
Humans Machine Learning Gene Expression Profiling Transcriptome Genomics
View on PubMed DOI

De novo assembly of Agave sisalana transcriptome in response to drought stress provides insight into the tolerance mechanisms.

Scientific reports Jan 23, 2019
Agave, monocotyledonous succulent plants, is endemic to arid regions of North America, exhibiting exceptional tolerance to their xeric environments. They employ various strategies to overcome environmental constraints, such as crassulacean acid metab...
Agave Dehydration Stress, Physiological Gene Ontology Gene Expression Regulation, Plant Transcriptome
View on PubMed DOI

Identification of tissue-specific tumor biomarker using different optimization algorithms.

Genes & genomics Dec 8, 2018
BACKGROUND: Identification of differentially expressed genes, i.e., genes whose transcript abundance level differs across different biological or physiological conditions, was indeed a challenging task. However, the inception of transcriptome sequenc...
Transcriptome Humans Gene Expression Regulation, Neoplastic Machine Learning Biomarkers, Tumor Organ Specificity
View on PubMed DOI
Popular Topics
Recent Journals