Cargando…

Identifying Key MicroRNA Signatures for Neurodegenerative Diseases With Machine Learning Methods

Neurodegenerative diseases, including Alzheimer’s disease (AD), Parkinson’s disease, and many other disease types, cause cognitive dysfunctions such as dementia via the progressive loss of structure or function of the body’s neurons. However, the etiology of these diseases remains unknown, and diagn...

Descripción completa

Detalles Bibliográficos
Autores principales:	Li, ZhanDong, Guo, Wei, Ding, ShiJian, Chen, Lei, Feng, KaiYan, Huang, Tao, Cai, Yu-Dong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9068882/ https://www.ncbi.nlm.nih.gov/pubmed/35528544 http://dx.doi.org/10.3389/fgene.2022.880997

Ejemplares similares

Identifying the Signatures and Rules of Circulating Extracellular MicroRNA for Distinguishing Cancer Subtypes
por: Yuan, Fei, et al.
Publicado: (2021)

Identifying Methylation Signatures and Rules for COVID-19 With Machine Learning Methods
por: Li, Zhandong, et al.
Publicado: (2022)

Detecting Blood Methylation Signatures in Response to Childhood Cancer Radiotherapy via Machine Learning Methods
por: Li, Zhandong, et al.
Publicado: (2022)

MicroRNAs in cancers and neurodegenerative disorders
por: Saito, Yoshimasa, et al.
Publicado: (2012)

Identification of COVID-19 severity biomarkers based on feature selection on single-cell RNA-Seq data of CD8(+) T cells
por: Lu, Jian, et al.
Publicado: (2022)

Immune responses of different COVID-19 vaccination strategies by analyzing single-cell RNA sequencing data from multiple tissues using machine learning methods
por: Li, Hao, et al.
Publicado: (2023)

Identification of methylation signatures and rules for predicting the severity of SARS-CoV-2 infection with machine learning methods
por: Liu, Zhiyang, et al.
Publicado: (2022)

The Path to microRNA Therapeutics in Psychiatric and Neurodegenerative Disorders
por: Chan, Anthony W. S., et al.
Publicado: (2012)

Identifying Functions of Proteins in Mice With Functional Embedding Features
por: Li, Hao, et al.
Publicado: (2022)

Identifying COVID-19-Specific Transcriptomic Biomarkers with Machine Learning Methods
por: Chen, Lei, et al.
Publicado: (2021)

Detecting Brain Structure-Specific Methylation Signatures and Rules for Alzheimer’s Disease
por: Li, ZhanDong, et al.
Publicado: (2022)

Distinguishing Glioblastoma Subtypes by Methylation Signatures
por: Zhang, Yu-Hang, et al.
Publicado: (2020)

Detecting the Multiomics Signatures of Factor-Specific Inflammatory Effects on Airway Smooth Muscles
por: Zhang, Yu-Hang, et al.
Publicado: (2021)

Exploring the Genomic Patterns in Human and Mouse Cerebellums Via Single-Cell Sequencing and Machine Learning Method
por: Li, ZhanDong, et al.
Publicado: (2022)

Immune-Related Nine-MicroRNA Signature for Predicting the Prognosis of Gastric Cancer
por: Xu, Jingxuan, et al.
Publicado: (2021)

Identifying MicroRNA Markers That Predict COVID-19 Severity Using Machine Learning Methods
por: Ren, Jingxin, et al.
Publicado: (2022)

Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines
por: Ding, ShiJian, et al.
Publicado: (2021)

Identification of a MicroRNA Signature Associated With Lymph Node Metastasis in Endometrial Endometrioid Cancer
por: Fu, Kaiyou, et al.
Publicado: (2021)

Integrated Analysis Identifies a Nine-microRNA Signature Biomarker for Diagnosis and Prognosis in Colorectal Cancer
por: Di, Ziyang, et al.
Publicado: (2020)

Predicting Heart Cell Types by Using Transcriptome Profiles and a Machine Learning Method
por: Ding, Shijian, et al.
Publicado: (2022)

Identification of Key microRNAs and Genes in Infantile Hemangiomas
por: Fu, Cong, et al.
Publicado: (2022)

Characterization of chromatin accessibility patterns in different mouse cell types using machine learning methods at single-cell resolution
por: Xu, Yaochen, et al.
Publicado: (2023)

MiRNA-Seq reveals key MicroRNAs involved in fat metabolism of sheep liver
por: Fei, Xiaojuan, et al.
Publicado: (2023)

Identification of protein–protein interaction associated functions based on gene ontology and KEGG pathway
por: Yang, Lili, et al.
Publicado: (2022)

Understanding Alcoholism Through microRNA Signatures in Brains of Human Alcoholics
por: Nunez, Yury O., et al.
Publicado: (2012)

Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features
por: Chen, Lei, et al.
Publicado: (2021)

Machine learning in the development of targeting microRNAs in human disease
por: Luo, Yuxun, et al.
Publicado: (2023)

Cancer diagnosis and prognosis decoded by blood-based circulating microRNA signatures
por: Madhavan, Dharanija, et al.
Publicado: (2013)

Integrative Analysis of MicroRNA and Gene Interactions for Revealing Candidate Signatures in Prostate Cancer
por: Wei, Jingchao, et al.
Publicado: (2020)

Identification of Methylation Signatures and Rules for Sarcoma Subtypes by Machine Learning Methods
por: Ren, Jingxin, et al.
Publicado: (2022)

Modulation of microRNA Activity by Semi-microRNAs
por: Plante, Isabelle, et al.
Publicado: (2012)

Identification of Transcriptome Biomarkers for Severe COVID-19 with Machine Learning Methods
por: Li, Xiaohong, et al.
Publicado: (2022)

MicroRNA-mediated regulation of key signaling pathways in hepatocellular carcinoma: A mechanistic insight
por: Ruiz-Manriquez, Luis M., et al.
Publicado: (2022)

Diagnostic implication of a circulating serum-based three-microRNA signature in hepatocellular carcinoma
por: Yousuf, Tahira, et al.
Publicado: (2022)

Identifying In Vitro Cultured Human Hepatocytes Markers with Machine Learning Methods Based on Single-Cell RNA-Seq Data
por: Li, ZhanDong, et al.
Publicado: (2022)

Identification of Core Gene Expression Signature and Key Pathways in Colorectal Cancer
por: Ding, Xiang, et al.
Publicado: (2020)

Identification of Cell Markers and Their Expression Patterns in Skin Based on Single-Cell RNA-Sequencing Profiles
por: Zhou, Xianchao, et al.
Publicado: (2022)

MIMRDA: A Method Incorporating the miRNA and mRNA Expression Profiles for Predicting miRNA-Disease Associations to Identify Key miRNAs (microRNAs)
por: Li, Xianbin, et al.
Publicado: (2022)

Construction of a Nine-MicroRNA-Based Signature to Predict the Overall Survival of Esophageal Cancer Patients
por: Zhang, Xiaobin, et al.
Publicado: (2021)

Primary Tumor Site Specificity is Preserved in Patient-Derived Tumor Xenograft Models
por: Chen, Lei, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_ljtnprguv7nf6kc9dg2mi9gh0p