AIMC Topic: Gene Expression Profiling
Clear Filters Showing 701 to 710 of 1315 articles
Integrative transcriptomic, proteomic, and machine learning approach to identifying feature genes of atrial fibrillation using atrial samples from patients with valvular heart disease.
BMC cardiovascular disorders
Jan 28, 2021
BACKGROUND: Atrial fibrillation (AF) is the most common arrhythmia with poorly understood mechanisms. We aimed to investigate the biological mechanism of AF and to discover feature genes by analyzing multi-omics data and by applying a machine learnin...
Gene Regulatory Networks
Heart Atria
Transcriptome
Genetic Association Studies
Heart Valve Diseases
Case-Control Studies
Humans
Proteomics
Oligonucleotide Array Sequence Analysis
Protein Interaction Maps
Machine Learning
Signal Transduction
Databases, Genetic
Middle Aged
Bayes Theorem
Female
Gene Expression Profiling
Atrial Fibrillation
Male
HDG-select: A novel GUI based application for gene selection and classification in high dimensional datasets.
PloS one
Jan 28, 2021
The selection and classification of genes is essential for the identification of related genes to a specific disease. Developing a user-friendly application with combined statistical rigor and machine learning functionality to help the biomedical res...
Identification of drug combinations on the basis of machine learning to maximize anti-aging effects.
PloS one
Jan 28, 2021
Aging is a multifactorial process that involves numerous genetic changes, so identifying anti-aging agents is quite challenging. Age-associated genetic factors must be better understood to search appropriately for anti-aging agents. We utilized an ag...
Machine learning approaches reveal subtle differences in breathing and sleep fragmentation in -derived astrocytes ablated mice.
Journal of neurophysiology
Jan 27, 2021
Modern neurophysiology research requires the interrogation of high-dimensionality data sets. Machine learning and artificial intelligence (ML/AI) workflows have permeated into nearly all aspects of daily life in the developed world but have not been ...
Machine Learning Analysis of Longevity-Associated Gene Expression Landscapes in Mammals.
International journal of molecular sciences
Jan 22, 2021
One of the important questions in aging research is how differences in transcriptomics are associated with the longevity of various species. Unfortunately, at the level of individual genes, the links between expression in different organs and maximum...
Mining influential genes based on deep learning.
BMC bioinformatics
Jan 22, 2021
BACKGROUND: Currently, large-scale gene expression profiling has been successfully applied to the discovery of functional connections among diseases, genetic perturbation, and drug action. To address the cost of an ever-expanding gene expression prof...
On transformative adaptive activation functions in neural networks for gene expression inference.
PloS one
Jan 14, 2021
Gene expression profiling was made more cost-effective by the NIH LINCS program that profiles only ∼1, 000 selected landmark genes and uses them to reconstruct the whole profile. The D-GEX method employs neural networks to infer the entire profile. H...
Prediction of future gene expression profile by analyzing its past variation pattern.
Gene expression patterns : GEP
Jan 12, 2021
A number of initial Hematopoietic Stem Cells (HSC) are considered in a container that are able to divide into HSCs or differentiate into various types of descendant cells. In this paper, a method is designed to predict an approximate gene expression ...
A 9 mRNAs-based diagnostic signature for rheumatoid arthritis by integrating bioinformatic analysis and machine-learning.
Journal of orthopaedic surgery and research
Jan 11, 2021
BACKGROUND: Rheumatoid arthritis (RA) is an autoimmune rheumatic disease that carries a substantial burden for both patients and society. Early diagnosis of RA is essential to prevent disease progression and select an optimal therapeutic strategy. Ho...
A novel gene expression test method of minimizing breast cancer risk in reduced cost and time by improving SVM-RFE gene selection method combined with LASSO.
Journal of integrative bioinformatics
Dec 29, 2020
Breast cancer is the leading diseases of death in women. It induces by a genetic mutation in breast cancer cells. Genetic testing has become popular to detect the mutation in genes but test cost is relatively expensive for several patients in develop...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 31144
- Neural Networks, Computer 29771
- Algorithms 26915
- Deep Learning 26421
- Artificial Intelligence 24361
- Robotics 13323
- Image Processing, Computer-Assisted 9552
- Retrospective Studies 9137
- Magnetic Resonance Imaging 6200
- Reproducibility of Results 5602
- Tomography, X-Ray Computed 4778
- Support Vector Machine 4696
- Computational Biology 4246
- Brain 4056
- Computer Simulation 3887
Recent Journals
- Scientific reports 6082
- Sensors (Basel, Switzerland) 4794
- PloS one 4051
- Neural networks : the official journal of the International Neural Network Society 2930
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1868
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1137
- Journal of chemical information and modeling 1006
- Nature communications 959
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 862
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 830