AIMC Topic: Gene Expression Profiling

Clear Filters Showing 711 to 720 of 1315 articles

Network-based drug sensitivity prediction.

BMC medical genomics Dec 28, 2020
BACKGROUND: Drug sensitivity prediction and drug responsive biomarker selection on high-throughput genomic data is a critical step in drug discovery. Many computational methods have been developed to serve this purpose including several deep neural n...
Computational Biology Gene Expression Regulation, Neoplastic Carcinoma, Non-Small-Cell Lung Gene Expression Profiling Deep Learning Gene Regulatory Networks Lung Neoplasms Humans Neural Networks, Computer Software Prognosis Biomarkers, Tumor Antineoplastic Agents
View on PubMed DOI

Characterization of Antiphospholipid Syndrome Atherothrombotic Risk by Unsupervised Integrated Transcriptomic Analyses.

Arteriosclerosis, thrombosis, and vascular biology Dec 24, 2020
OBJECTIVE: Our aim was to characterize distinctive clinical antiphospholipid syndrome phenotypes and identify novel microRNA (miRNA)-mRNA-intracellular signaling regulatory networks in monocytes linked to cardiovascular disease. Approach and Results:...
Humans Male Middle Aged Risk Assessment Gene Expression Profiling Cells, Cultured Female Risk Factors Adult Unsupervised Machine Learning Thrombosis Monocytes Gene Expression Regulation Transcriptome Antiphospholipid Syndrome Signal Transduction Oligonucleotide Array Sequence Analysis Case-Control Studies Cluster Analysis Protein Interaction Maps MicroRNAs Gene Regulatory Networks
View on PubMed DOI

Multi-task learning for the simultaneous reconstruction of the human and mouse gene regulatory networks.

Scientific reports Dec 18, 2020
The reconstruction of Gene Regulatory Networks (GRNs) from gene expression data, supported by machine learning approaches, has received increasing attention in recent years. The task at hand is to identify regulatory links between genes in a network....
Computational Biology Cluster Analysis Gene Expression Regulation Animals Gene Expression Profiling Gene Regulatory Networks Mice Humans Machine Learning Algorithms
View on PubMed DOI

On tower and checkerboard neural network architectures for gene expression inference.

BMC genomics Dec 16, 2020
BACKGROUND: One possible approach how to economically facilitate gene expression profiling is to use the L1000 platform which measures the expression of ∼1,000 landmark genes and uses a computational method to infer the expression of another ∼10,000 ...
Neural Networks, Computer Algorithms Gene Expression Profiling Gene Regulatory Networks Gene Expression
View on PubMed DOI

Deep Learning Benchmarks on L1000 Gene Expression Data.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2020
Gene expression data can offer deep, physiological insights beyond the static coding of the genome alone. We believe that realizing this potential requires specialized, high-capacity machine learning methods capable of using underlying biological str...
Databases, Genetic Cell Line Deep Learning Protein Interaction Maps Computational Biology Models, Genetic Humans Algorithms Gene Expression Profiling Transcriptome
View on PubMed DOI

Multi-assignment clustering: Machine learning from a biological perspective.

Journal of biotechnology Dec 4, 2020
A common approach for analyzing large-scale molecular data is to cluster objects sharing similar characteristics. This assumes that genes with highly similar expression profiles are likely participating in a common molecular process. Biological syste...
Machine Learning Algorithms Gene Expression Profiling Cluster Analysis
View on PubMed DOI

Identification of contributing genes of Huntington's disease by machine learning.

BMC medical genomics Nov 23, 2020
BACKGROUND: Huntington's disease (HD) is an inherited disorder caused by the polyglutamine (poly-Q) mutations of the HTT gene results in neurodegeneration characterized by chorea, loss of coordination, cognitive decline. However, HD pathogenesis is s...
Nerve Tissue Proteins Humans Prefrontal Cortex Sensation Machine Learning Inflammation Datasets as Topic Gene Expression Profiling Cognition Linear Models Decision Trees Gene Expression Regulation Perception Gene Ontology Cytoskeleton Huntington Disease
View on PubMed DOI

Deep learning-based clustering robustly identified two classes of sepsis with both prognostic and predictive values.

EBioMedicine Nov 10, 2020
BACKGROUND: Sepsis is a heterogenous syndrome and individualized management strategy is the key to successful treatment. Genome wide expression profiling has been utilized for identifying subclasses of sepsis, but the clinical utility of these subcla...
Prognosis Female Male Gene Expression Profiling Humans Algorithms Biomarkers Computational Biology Cluster Analysis Predictive Value of Tests Disease Susceptibility Transcriptome Deep Learning Sepsis ROC Curve
View on PubMed DOI

Two machine learning methods identify a metastasis-related prognostic model that predicts overall survival in medulloblastoma patients.

Aging Nov 5, 2020
Approximately 30% of medulloblastoma (MB) patients exhibit metastasis at initial diagnosis, which often leads to a poor prognosis. Here, by using univariate Cox regression analysis, two machine learning methods (Lasso-penalized Cox regression and ran...
Young Adult Adult Biomarkers, Tumor Male Middle Aged Risk Assessment Infant Gene Expression Profiling Clinical Decision-Making Female Reproducibility of Results Risk Factors Humans Machine Learning Decision Support Techniques Prognosis Medulloblastoma Nomograms Transcriptome Databases, Genetic Adolescent Predictive Value of Tests Child, Preschool Cerebellar Neoplasms Child
View on PubMed DOI

Unsupervised and supervised learning with neural network for human transcriptome analysis and cancer diagnosis.

Scientific reports Nov 5, 2020
Deep learning analysis of images and text unfolds new horizons in medicine. However, analysis of transcriptomic data, the cause of biological and pathological changes, is hampered by structural complexity distinctive from images and text. Here we con...
Humans Neural Networks, Computer Neoplasms Gene Expression Profiling Transcriptome Unsupervised Machine Learning Supervised Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals