Cargando…

Machine Learning on Human Muscle Transcriptomic Data for Biomarker Discovery and Tissue-Specific Drug Target Identification

For the past several decades, research in understanding the molecular basis of human muscle aging has progressed significantly. However, the development of accessible tissue-specific biomarkers of human muscle aging that may be measured to evaluate the effectiveness of therapeutic interventions is s...

Descripción completa

Detalles Bibliográficos
Autores principales:	Mamoshina, Polina, Volosnikova, Marina, Ozerov, Ivan V., Putin, Evgeny, Skibina, Ekaterina, Cortese, Franco, Zhavoronkov, Alex
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2018
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6052089/ https://www.ncbi.nlm.nih.gov/pubmed/30050560 http://dx.doi.org/10.3389/fgene.2018.00242

Ejemplares similares

Deep biomarkers of human aging: Application of deep neural networks to biomarker development
por: Putin, Evgeny, et al.
Publicado: (2016)

Human Gut Microbiome Aging Clock Based on Taxonomic Profiling and Deep Learning
por: Galkin, Fedor, et al.
Publicado: (2020)

Population Specific Biomarkers of Human Aging: A Big Data Study Using South Korean, Canadian, and Eastern European Patient Populations
por: Mamoshina, Polina, et al.
Publicado: (2018)

Blood Biochemistry Analysis to Detect Smoking Status and Quantify Accelerated Aging in Smokers
por: Mamoshina, Polina, et al.
Publicado: (2019)

Deep biomarkers of aging and longevity: from research to applications
por: Zhavoronkov, Alex, et al.
Publicado: (2019)

Adapting Blood DNA Methylation Aging Clocks for Use in Saliva Samples With Cell-type Deconvolution
por: Galkin, Fedor, et al.
Publicado: (2021)

The Neuronal Overexpression of Gclc in Drosophila melanogaster Induces Life Extension With Longevity-Associated Transcriptomic Changes in the Thorax
por: Moskalev, Alexey, et al.
Publicado: (2019)

High-Throughput Transcriptome Profiling in Drug and Biomarker Discovery
por: Yang, Xiaonan, et al.
Publicado: (2020)

DeepMAge: A Methylation Aging Clock Developed with Deep Learning
por: Galkin, Fedor, et al.
Publicado: (2021)

In search for geroprotectors: in silico screening and in vitro validation of signalome-level mimetics of young healthy state
por: Aliper, Alexander, et al.
Publicado: (2016)

Dual Transcriptomic and Molecular Machine Learning Predicts all Major Clinical Forms of Drug Cardiotoxicity
por: Mamoshina, Polina, et al.
Publicado: (2020)

Increased Pace of Aging in COVID-Related Mortality
por: Galkin, Fedor, et al.
Publicado: (2021)

Aging and drug discovery
por: Bakula, Daniela, et al.
Publicado: (2018)

The Evaluation of Geroprotective Effects of Selected Flavonoids in Drosophila melanogaster and Caenorhabditis elegans
por: Lashmanova, Ekaterina, et al.
Publicado: (2017)

The cornucopia of meaningful leads: Applying deep adversarial autoencoders for new molecule development in oncology
por: Kadurin, Artur, et al.
Publicado: (2016)

Editorial: Should We Treat Aging as a Disease? Academic, Pharmaceutical, Healthcare Policy, and Pension Fund Perspectives
por: Zhavoronkov, Alex, et al.
Publicado: (2016)

Classifying aging as a disease in the context of ICD-11
por: Zhavoronkov, Alex, et al.
Publicado: (2015)

Oncofinder, a new method for the analysis of intracellular signaling pathway activation using transcriptomic data
por: Buzdin, Anton A., et al.
Publicado: (2014)

Use of deep neural network ensembles to identify embryonic-fetal transition markers: repression of COX7A1 in embryonic and cancer cells
por: West, Michael D., et al.
Publicado: (2017)

Gene filtering strategies for machine learning guided biomarker discovery using neonatal sepsis RNA-seq data
por: Parkinson, Edward, et al.
Publicado: (2023)

Machine learning-based transcriptome analysis of lipid metabolism biomarkers for the survival prediction in hepatocellular carcinoma
por: Xiong, Ronghong, et al.
Publicado: (2022)

Editorial: Novel approaches and concepts of biomarker discovery for cancer
por: Hong, Guini, et al.
Publicado: (2022)

Integration of Machine Learning Methods to Dissect Genetically Imputed Transcriptomic Profiles in Alzheimer’s Disease
por: Maj, Carlo, et al.
Publicado: (2019)

A Transcriptomics-Based Meta-Analysis Combined With Machine Learning Identifies a Secretory Biomarker Panel for Diagnosis of Pancreatic Adenocarcinoma
por: Khatri, Indu, et al.
Publicado: (2020)

COVIDomic: A multi-modal cloud-based platform for identification of risk factors associated with COVID-19 severity
por: Naumov, Vladimir, et al.
Publicado: (2021)

Integrative Transcriptomic, Lipidomic, and Metabolomic Analysis Reveals Potential Biomarkers of Basal and Luminal Muscle Invasive Bladder Cancer Subtypes
por: Feng, Chao, et al.
Publicado: (2021)

Biomedical generative pre-trained based transformer language model for age-related disease target discovery
por: Zagirova, Diana, et al.
Publicado: (2023)

Epigenetic Variation Analysis Leads to Biomarker Discovery in Gastric Adenocarcinoma
por: Zhang, Yan, et al.
Publicado: (2020)

The impact of violating the independence assumption in meta-analysis on biomarker discovery
por: Abbas-Aghababazadeh, Farnoosh, et al.
Publicado: (2023)

Discovery and Validation of Key Biomarkers Based on Immune Infiltrates in Alzheimer’s Disease
por: Liu, Zhuohang, et al.
Publicado: (2021)

Machine Learning Classifiers for Endometriosis Using Transcriptomics and Methylomics Data
por: Akter, Sadia, et al.
Publicado: (2019)

Cancer Biomarkers Discovery of Methylation Modification With Direct High-Throughput Nanopore Sequencing
por: Zhang, Junjie, et al.
Publicado: (2021)

Adverse Drug Reaction Discovery Using a Tumor-Biomarker Knowledge Graph
por: Wang, Meng, et al.
Publicado: (2021)

Identification of Four Biomarkers of Human Skin Aging by Comprehensive Single Cell Transcriptome, Transcriptome, and Proteomics
por: Mao, Rui, et al.
Publicado: (2022)

Comprehensive analysis of the progression mechanisms of CRPC and its inhibitor discovery based on machine learning algorithms
por: Wang, Zhen, et al.
Publicado: (2023)

Characteristic patterns of microRNA expression in human bladder cancer
por: Zabolotneva, Anastasia A., et al.
Publicado: (2013)

Signaling pathway cloud regulation for in silico screening and ranking of the potential geroprotective drugs
por: Zhavoronkov, Alex, et al.
Publicado: (2014)

Large-Scale Automatic Feature Selection for Biomarker Discovery in High-Dimensional OMICs Data
por: Leclercq, Mickael, et al.
Publicado: (2019)

Lysine Acetylome Study of Human Hepatocellular Carcinoma Tissues for Biomarkers and Therapeutic Targets Discovery
por: Zhao, Qianwei, et al.
Publicado: (2020)

From GWAS to Gene: Transcriptome-Wide Association Studies and Other Methods to Functionally Understand GWAS Discoveries
por: Li, Binglan, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_953vdah7pag53lgll4raif1u69