Cargando…

Identifying diseases-related metabolites using random walk

BACKGROUND: Metabolites disrupted by abnormal state of human body are deemed as the effect of diseases. In comparison with the cause of diseases like genes, these markers are easier to be captured for the prevention and diagnosis of metabolic diseases. Currently, a large number of metabolic markers...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hu, Yang, Zhao, Tianyi, Zhang, Ningyi, Zang, Tianyi, Zhang, Jun, Cheng, Liang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2018
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5907145/ https://www.ncbi.nlm.nih.gov/pubmed/29671398 http://dx.doi.org/10.1186/s12859-018-2098-1

Ejemplares similares

Identifying Alzheimer’s disease-related proteins by LRRGD
por: Zhao, Tianyi, et al.
Publicado: (2019)

A multi-network integration approach for measuring disease similarity based on ncRNA regulation and heterogeneous information
por: Zhang, Ningyi, et al.
Publicado: (2022)

Identification of Alzheimer's Disease-Related Genes Based on Data Integration Method
por: Hu, Yang, et al.
Publicado: (2019)

Integrate GWAS, eQTL, and mQTL Data to Identify Alzheimer’s Disease-Related Genes
por: Zhao, Tianyi, et al.
Publicado: (2019)

Identifying Protein Biomarkers in Blood for Alzheimer's Disease
por: Zhao, Tianyi, et al.
Publicado: (2020)

A novel method to identify pre-microRNA in various species knowledge base on various species
por: Zhao, Tianyi, et al.
Publicado: (2017)

DeepGP: An Integrated Deep Learning Method for Endocrine Disease Gene Prediction Using Omics Data
por: Zhang, Ningyi, et al.
Publicado: (2021)

Prediction of disease-related metabolites using bi-random walks
por: Lei, Xiujuan, et al.
Publicado: (2019)

Prioritizing candidate diseases-related metabolites based on literature and functional similarity
por: Wang, Yongtian, et al.
Publicado: (2019)

Peptide-Major Histocompatibility Complex Class I Binding Prediction Based on Deep Learning With Novel Feature
por: Zhao, Tianyi, et al.
Publicado: (2019)

MRTFB regulates the expression of NOMO1 in colon
por: Zhao, Tianyi, et al.
Publicado: (2020)

Explore potential disease related metabolites based on latent factor model
por: Wang, Yongtian, et al.
Publicado: (2022)

DRACP: a novel method for identification of anticancer peptides
por: Zhao, Tianyi, et al.
Publicado: (2020)

Identification of immune cell function in breast cancer by integrating multiple single-cell data
por: Zhang, Liyuan, et al.
Publicado: (2022)

Genome-wide Mendelian randomization identifies putatively causal gut microbiota for multiple peptic ulcer diseases
por: Zhao, Jingwei, et al.
Publicado: (2023)

A novel algorithm based on bi-random walks to identify disease-related lncRNAs
por: Hu, Jialu, et al.
Publicado: (2019)

Identifying and Analyzing Novel Epilepsy-Related Genes Using Random Walk with Restart Algorithm
por: Guo, Wei, et al.
Publicado: (2017)

CNN-DDI: a learning-based method for predicting drug–drug interactions using convolution neural networks
por: Zhang, Chengcheng, et al.
Publicado: (2022)

Identifying novel fruit-related genes in Arabidopsis thaliana based on the random walk with restart algorithm
por: Zhang, Yunhua, et al.
Publicado: (2017)

Walking and taking vitamin C alleviates oxidative stress and inflammation in overweight students, even in the short-term
por: Zhang, Qian, et al.
Publicado: (2022)

Protocol to access unknown flanking DNA sequences using Wristwatch-PCR for genome-walking
por: Wang, Lingqin, et al.
Publicado: (2023)

Human mitochondrial genome compression using machine learning techniques
por: Wang, Rongjie, et al.
Publicado: (2019)

Editorial: Identification of immune-related biomarkers for cancer diagnosis based on multi-omics data
por: Cheng, Liang, et al.
Publicado: (2022)

Using random walks to identify cancer-associated modules in expression data
por: Petrochilos, Deanna, et al.
Publicado: (2013)

Wristwatch PCR: A Versatile and Efficient Genome Walking Strategy
por: Wang, Lingqin, et al.
Publicado: (2022)

A Random Walk-Based Method to Identify Candidate Genes Associated With Lymphoma
por: Sheng, Minjie, et al.
Publicado: (2021)

Ketogenic Diets Induced Glucose Intolerance and Lipid Accumulation in Mice with Alterations in Gut Microbiota and Metabolites
por: Li, Yue, et al.
Publicado: (2021)

Identifying co-targets to fight drug resistance based on a random walk model
por: Chen, Liang-Chun, et al.
Publicado: (2012)

Genetic support of a causal relationship between iron status and atrial fibrillation: a Mendelian randomization study
por: Wang, Tianyi, et al.
Publicado: (2022)

Comment on ‘Effects of Vivifrail multicomponent intervention on functional capacity: A multicentre randomized controlled trial’ by Casas‐Herrero et al.
por: Yan, Jin, et al.
Publicado: (2023)

Identifying Barriers to and Opportunities for Telehealth Implementation Amidst the COVID-19 Pandemic by Using a Human Factors Approach: A Leap Into the Future of Health Care Delivery?
por: Zhang, Tianyi, et al.
Publicado: (2021)

Fusion primer driven racket PCR: A novel tool for genome walking
por: Pei, Jinfeng, et al.
Publicado: (2022)

Chitosan Enhances Intestinal Health in Cats by Altering the Composition of Gut Microbiota and Metabolites
por: Mo, Ruixia, et al.
Publicado: (2023)

Identifying topological corner states in two-dimensional metal-organic frameworks
por: Hu, Tianyi, et al.
Publicado: (2023)

PathWalks: identifying pathway communities using a disease-related map of integrated information
por: Karatzas, Evangelos, et al.
Publicado: (2020)

Predicting circRNA-Disease Associations Based on circRNA Expression Similarity and Functional Similarity
por: Wang, Yongtian, et al.
Publicado: (2019)

Integrating random walk and binary regression to identify novel miRNA-disease association
por: Niu, Ya-Wei, et al.
Publicado: (2019)

Integration of multiple-omics data to reveal the shared genetic architecture of educational attainment, intelligence, cognitive performance, and Alzheimer’s disease
por: Wang, Fuxu, et al.
Publicado: (2023)

InfAcrOnt: calculating cross-ontology term similarities using information flow by a random walk
por: Cheng, Liang, et al.
Publicado: (2018)

Identifying Small Molecule-miRNA Associations Based on Credible Negative Sample Selection and Random Walk
por: Liu, Fuxing, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_qktepo88gnsprqfcr8mt1v5ubk