AIMC Topic: Signal Transduction

Clear Filters Showing 81 to 90 of 300 articles

Automated machine learning optimizes and accelerates predictive modeling from COVID-19 high throughput datasets.

Scientific reports Jul 23, 2021
COVID-19 outbreak brings intense pressure on healthcare systems, with an urgent demand for effective diagnostic, prognostic and therapeutic procedures. Here, we employed Automated Machine Learning (AutoML) to analyze three publicly available high thr...
Databases, Factual Biomarkers Computer Simulation Prognosis SARS-CoV-2 Humans Machine Learning Software COVID-19 Databases, Genetic Metabolomics Immunity, Innate Databases, Protein Interferon-gamma Severity of Illness Index Gene Expression Profiling ROC Curve Proteomics Signal Transduction
View on PubMed DOI

Dual-Organ Transcriptomic Analysis of Rainbow Trout Infected With Through Co-Expression and Machine Learning.

Frontiers in immunology Jul 8, 2021
is a major pathogen that causes a high mortality rate in trout farms. However, systemic responses to the pathogen and its interactions with multiple organs during the course of infection have not been well described. In this study, dual-organ transc...
Virulence Factors Gene Regulatory Networks Gills Virulence Signal Transduction Head Kidney Machine Learning Gene Expression Regulation Immunity, Innate Oncorhynchus mykiss Animals Host-Pathogen Interactions Fish Diseases Ciliophora Infections Transcriptome Liver Hymenostomatida RNA-Seq
View on PubMed DOI

Machine Learning to Support the Presentation of Complex Pathway Graphs.

IEEE/ACM transactions on computational biology and bioinformatics Jun 3, 2021
Visualization of biological mechanisms by means of pathway graphs is necessary to better understand the often complex underlying system. Manual layout of such pathways or maps of knowledge is a difficult and time consuming process. Node duplication i...
Humans Machine Learning Computational Biology Signal Transduction Support Vector Machine Models, Biological Data Display
View on PubMed DOI

Identification of potential genomic biomarkers for Parkinson's disease using data pooling of gene expression microarrays.

Biomarkers in medicine May 14, 2021
In this study, we aimed to identify potential diagnostic biomarkers Parkinson's disease (PD) by exploring microarray gene expression data of PD patients. Differentially expressed genes associated with PD were screened from the GSE99039 dataset usin...
Gene Regulatory Networks Genomics Signal Transduction Parkinson Disease Gene Ontology Biomarkers Gene Expression Profiling Case-Control Studies Protein Interaction Maps Humans
View on PubMed DOI

Pseudocell Tracer-A method for inferring dynamic trajectories using scRNAseq and its application to B cells undergoing immunoglobulin class switch recombination.

PLoS computational biology May 3, 2021
Single cell RNA sequencing (scRNAseq) can be used to infer a temporal ordering of cellular states. Current methods for the inference of cellular trajectories rely on unbiased dimensionality reduction techniques. However, such biologically agnostic or...
Single-Cell Analysis RNA-Seq Mice Computational Biology Signal Transduction Neural Networks, Computer Interleukin-4 Immunoglobulin G Computer Simulation Animals Immunoglobulin Class Switching NF-kappa B p50 Subunit STAT6 Transcription Factor Databases, Nucleic Acid Models, Immunological Receptors, Cytokine Mice, Inbred C57BL Recombination, Genetic Gene Expression Basic-Leucine Zipper Transcription Factors B-Lymphocytes Supervised Machine Learning
View on PubMed DOI

Artificial Intelligence Approaches to Assessing Primary Cilia.

Journal of visualized experiments : JoVE May 1, 2021
Cilia are microtubule based cellular appendages that function as signaling centers for a diversity of signaling pathways in many mammalian cell types. Cilia length is highly conserved, tightly regulated, and varies between different cell types and ti...
Artificial Intelligence Animals Signal Transduction Receptors, G-Protein-Coupled Microtubules Cilia
View on PubMed DOI

Artificial intelligence and leukocyte epigenomics: Evaluation and prediction of late-onset Alzheimer's disease.

PloS one Mar 31, 2021
We evaluated the utility of leucocyte epigenomic-biomarkers for Alzheimer's Disease (AD) detection and elucidates its molecular pathogeneses. Genome-wide DNA methylation analysis was performed using the Infinium MethylationEPIC BeadChip array in 24 l...
Aged Aged, 80 and over Sensitivity and Specificity Male Case-Control Studies Humans Biomarkers Prognosis Female DNA Methylation Deep Learning Leukocytes Genome-Wide Association Study Alzheimer Disease Epigenesis, Genetic CpG Islands Epigenomics Late Onset Disorders Signal Transduction
View on PubMed DOI

Explaining decisions of graph convolutional neural networks: patient-specific molecular subnetworks responsible for metastasis prediction in breast cancer.

Genome medicine Mar 11, 2021
BACKGROUND: Contemporary deep learning approaches show cutting-edge performance in a variety of complex prediction tasks. Nonetheless, the application of deep learning in healthcare remains limited since deep learning methods are often considered as ...
Neoplasm Metastasis Breast Neoplasms Protein Interaction Maps Gene Regulatory Networks Gene Expression Regulation, Neoplastic Humans Signal Transduction Neural Networks, Computer Algorithms Female
View on PubMed DOI

Expanding the drug discovery space with predicted metabolite-target interactions.

Communications biology Mar 5, 2021
Metabolites produced in the human gut are known modulators of host immunity. However, large-scale identification of metabolite-host receptor interactions remains a daunting challenge. Here, we employed computational approaches to identify 983 potenti...
Molecular Targeted Therapy Host-Pathogen Interactions Metabolome Anti-Inflammatory Agents Gastrointestinal Agents Data Mining Ligands Bacteria Signal Transduction Humans Gastrointestinal Microbiome Machine Learning Metabolomics Cells, Cultured Inflammatory Bowel Diseases Databases, Factual Drug Discovery Gene Expression Profiling Transcriptome Protein Interaction Maps
View on PubMed DOI

Modulation of the dynamics of cerebellar Purkinje cells through the interaction of excitatory and inhibitory feedforward pathways.

PLoS computational biology Feb 10, 2021
The dynamics of cerebellar neuronal networks is controlled by the underlying building blocks of neurons and synapses between them. For which, the computation of Purkinje cells (PCs), the only output cells of the cerebellar cortex, is implemented thro...
Cerebellum Synapses Neural Pathways Normal Distribution Synaptic Transmission Interneurons Purkinje Cells Excitatory Postsynaptic Potentials Cerebellar Cortex Signal Transduction Neuronal Plasticity Models, Neurological Action Potentials Neurons Humans Neural Networks, Computer Computer Simulation Animals
View on PubMed DOI
Popular Topics
Recent Journals