AIMC Topic: Gene Regulatory Networks

Clear Filters Showing 341 to 350 of 830 articles

Potential Shared Mitochondrial-Related Gene Signatures and Molecular Mechanisms Between Polycystic Ovary Syndrome (PCOS) and Major Depressive Disorder (MDD): Evidence from Transcriptome Data and Machine Learning.

Molecular biotechnology Jul 24, 2024
Polycystic ovary syndrome (PCOS) is strongly associated with major depressive disorder (MDD), but the shared pathophysiological mechanisms between them are ambiguous, and the aim of this study was to explore the shared genetic features and associated...
Machine Learning Female Depressive Disorder, Major Gene Expression Profiling Humans Support Vector Machine Databases, Genetic Mitochondria Polycystic Ovary Syndrome Transcriptome Protein Interaction Maps Gene Regulatory Networks Computational Biology
View on PubMed DOI

A personalized mRNA signature for predicting hypertrophic cardiomyopathy applying machine learning methods.

Scientific reports Jul 24, 2024
Hypertrophic cardiomyopathy (HCM) may lead to cardiac dysfunction and sudden death. This study was designed to develop a HCM signature applying bioinformatics and machine learning methods. Data of HCM and normal tissues were obtained from public data...
Gene Regulatory Networks Computational Biology RNA, Messenger Disease Models, Animal Zebrafish Cardiomyopathy, Hypertrophic Machine Learning Animals Gene Expression Profiling Transcriptome Humans
View on PubMed DOI

Machine learning and bioinformatics analysis of diagnostic biomarkers associated with the occurrence and development of lung adenocarcinoma.

PeerJ Jul 23, 2024
OBJECTIVE: Lung adenocarcinoma poses a major global health challenge and is a leading cause of cancer-related deaths worldwide. This study is a review of three molecular biomarkers screened by machine learning that are not only important in the occur...
Computational Biology Gene Expression Profiling Humans MicroRNAs Gene Expression Regulation, Neoplastic Machine Learning Protein Interaction Maps Databases, Genetic Adenocarcinoma of Lung Biomarkers, Tumor Gene Regulatory Networks Lung Neoplasms
View on PubMed DOI

Abnormal genes and pathways that drive muscle contracture from brachial plexus injuries: Towards machine learning approach.

SLAS technology Jul 20, 2024
In order to clarify the pathways closely linked to denervated muscle contracture, this work uses IoMT-enabled healthcare stratergies to examine changes in gene expression patterns inside atrophic muscles following brachial plexus damage. The gene exp...
Computational Biology Signal Transduction Muscle, Skeletal Contracture Machine Learning Gene Expression Profiling Gene Regulatory Networks Brachial Plexus Humans
View on PubMed DOI

CGMega: explainable graph neural network framework with attention mechanisms for cancer gene module dissection.

Nature communications Jul 17, 2024
Cancer is rarely the straightforward consequence of an abnormality in a single gene, but rather reflects a complex interplay of many genes, represented as gene modules. Here, we leverage the recent advances of model-agnostic interpretation approach a...
Female Breast Neoplasms Leukemia, Myeloid, Acute Deep Learning Humans Neural Networks, Computer Neuregulin-1 Cell Line, Tumor Gene Regulatory Networks Gene Expression Regulation, Neoplastic
View on PubMed DOI

Identification of core genes in intervertebral disc degeneration using bioinformatics and machine learning algorithms.

Frontiers in immunology Jul 10, 2024
BACKGROUND: Intervertebral Disc Degeneration (IDD) is a major cause of lower back pain and a significant global health issue. However, the specific mechanisms of IDD remain unclear. This study aims to identify key genes and pathways associated with I...
Gene Expression Profiling Algorithms Humans Computational Biology Intervertebral Disc Degeneration Databases, Genetic Female Gene Expression Regulation Transcriptome Male Machine Learning Protein Interaction Maps Gene Regulatory Networks
View on PubMed DOI

Identification and validation of potential common biomarkers for papillary thyroid carcinoma and Hashimoto's thyroiditis through bioinformatics analysis and machine learning.

Scientific reports Jul 6, 2024
There is a growing body of evidence suggesting that Hashimoto's thyroiditis (HT) may contribute to an increased risk of papillary thyroid carcinoma (PTC). However, the exact relationship between HT and PTC is still not fully understood. The objective...
Hashimoto Disease Biomarkers, Tumor Gene Expression Profiling Thyroid Cancer, Papillary Thyroid Neoplasms Protein Interaction Maps Humans Gene Regulatory Networks Neural Networks, Computer Computational Biology Machine Learning Gene Expression Regulation, Neoplastic
View on PubMed DOI

Characterizing mitochondrial features in osteoarthritis through integrative multi-omics and machine learning analysis.

Frontiers in immunology Jul 4, 2024
PURPOSE: Osteoarthritis (OA) stands as the most prevalent joint disorder. Mitochondrial dysfunction has been linked to the pathogenesis of OA. The main goal of this study is to uncover the pivotal role of mitochondria in the mechanisms driving OA dev...
Osteoarthritis Computational Biology Multiomics Databases, Genetic Mitochondria Humans Transcriptome Genome-Wide Association Study Machine Learning Gene Regulatory Networks Gene Expression Profiling
View on PubMed DOI

Four Genes with Seven Targeted Drugs might be Treatment for Diabetic Nephropathy and Acute Coronary Syndrome.

The Tohoku journal of experimental medicine Jun 27, 2024
Diabetes nephropathy (DN) is a main risk factor for acute coronary syndrome (ACS), but the molecular mechanism is unknown. This research used bioinformatics approaches to uncover potential molecular mechanisms and drugs for DN and ACS. GSE142153 and ...
Protein Interaction Maps Molecular Targeted Therapy Gene Regulatory Networks Gene Ontology Diabetic Nephropathies Humans Computational Biology Gene Expression Profiling Databases, Genetic Acute Coronary Syndrome Gene Expression Regulation
View on PubMed DOI

Identification of immune-related genes and small-molecule drugs in hypertension-induced left ventricular hypertrophy based on machine learning algorithms and molecular docking.

Frontiers in immunology Jun 27, 2024
BACKGROUND: Left ventricular hypertrophy (LVH) is a common consequence of hypertension and can lead to heart failure. The immune response plays an important role in hypertensive LVH; however, there is no comprehensive method to investigate the mechan...
Machine Learning Animals Male Molecular Docking Simulation Gene Expression Profiling Gene Regulatory Networks Mice, Inbred C57BL Mice Hypertrophy, Left Ventricular Hypertension Disease Models, Animal
View on PubMed DOI
Popular Topics
Recent Journals