Association predictions of genomics, proteinomics, transcriptomics, microbiome, metabolomics, pathomics, radiomics, drug, symptoms, environment factor, and disease networks: A comprehensive approach
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Association predictions of genomics, proteinomics, transcriptomics, microbiome, metabolomics, pathomics, radiomics, drug, symptoms, environment factor, and disease networks: A comprehensive approach
Authors
Keywords
-
Journal
MEDICINAL RESEARCH REVIEWS
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2021-08-04
DOI
10.1002/med.21847
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Role of artificial intelligence in integrated analysis of multi-omics and imaging data in cancer research
- (2020) Nam Nhut Phan et al. Translational Cancer Research
- Predicting lncRNA–Protein Interactions With miRNAs as Mediators in a Heterogeneous Network Model
- (2020) Yuan-Ke Zhou et al. Frontiers in Genetics
- Predicting Microbe-Disease Association by Learning Graph Representations and Rule-Based Inference on the Heterogeneous Network
- (2020) Xiujuan Lei et al. Frontiers in Microbiology
- Graph-based prediction of Protein-protein interactions with attributed signed graph embedding
- (2020) Fang Yang et al. BMC BIOINFORMATICS
- Harnessing endophenotypes and network medicine for Alzheimer's drug repurposing
- (2020) Jiansong Fang et al. MEDICINAL RESEARCH REVIEWS
- Variational graph auto-encoders for miRNA-disease association prediction
- (2020) Yulian Ding et al. METHODS
- Deep learning-based survival prediction for multiple cancer types using histopathology images
- (2020) Ellery Wulczyn et al. PLoS One
- Leveraging the Comparative Toxicogenomics Database to fill in knowledge gaps for environmental health: a test case for air pollution-induced cardiovascular disease
- (2020) Allan Peter Davis et al. TOXICOLOGICAL SCIENCES
- Predicting Human lncRNA-Disease Associations Based on Geometric Matrix Completion
- (2020) Chengqian Lu et al. IEEE Journal of Biomedical and Health Informatics
- Integrative Network Fusion: A Multi-Omics Approach in Molecular Profiling
- (2020) Marco Chierici et al. Frontiers in Oncology
- MIPDH: A Novel Computational Model for Predicting microRNA–mRNA Interactions by DeepWalk on a Heterogeneous Network
- (2020) Leon Wong et al. ACS Omega
- Learning Representations to Predict Intermolecular Interactions on Large-Scale Heterogeneous Molecular Association Network
- (2020) Hai-Cheng Yi et al. iScience
- Relational completion based non-negative matrix factorization for predicting metabolite-disease associations
- (2020) Xiujuan Lei et al. KNOWLEDGE-BASED SYSTEMS
- Artificial intelligence and machine learning‐aided drug discovery in central nervous system diseases: State‐of‐the‐arts and future directions
- (2020) Sezen Vatansever et al. MEDICINAL RESEARCH REVIEWS
- Predicting Metabolite-Disease Associations Based on Spy Strategy and ABC Algorithm
- (2020) Xiujuan Lei et al. Frontiers in Molecular Biosciences
- Prediction of disease-associated circRNAs via circRNA–disease pair graph and weighted nuclear norm minimization
- (2020) Yuchen Zhang et al. KNOWLEDGE-BASED SYSTEMS
- Expanded Expression Landscape and Prioritization of Circular RNAs in Mammals
- (2019) Peifeng Ji et al. Cell Reports
- Gene-Environment Interaction in the Era of Precision Medicine
- (2019) Jingjing Li et al. CELL
- A novel mRNA-miRNA-lncRNA competing endogenous RNA triple sub-network associated with prognosis of pancreatic cancer
- (2019) Wenlong Wang et al. Aging-US
- The Pathosome: A Dynamic Three‐Dimensional View of Disease–Environment Interaction
- (2019) Peter Lenart et al. BIOESSAYS
- Identifying the reactive metabolites of tyrosine kinase inhibitors in a comprehensive approach: Implications for drug‐drug interactions and hepatotoxicity
- (2019) Marie‐Noëlle Paludetto et al. MEDICINAL RESEARCH REVIEWS
- GEPIA2: an enhanced web server for large-scale expression profiling and interactive analysis
- (2019) Zefang Tang et al. NUCLEIC ACIDS RESEARCH
- Comparative Analysis of CT and MRI Diagnosis of Large Vestibular Aqueduct Syndrome (LVAS) in Children
- (2019) Ling Yang et al. JCPSP-Journal of the College of Physicians and Surgeons Pakistan
- Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling
- (2019) Albert C. Yeh et al. CANCER IMAGING
- Inferring Interaction Networks From Multi-Omics Data
- (2019) Johann S. Hawe et al. Frontiers in Genetics
- Structured gene‐environment interaction analysis
- (2019) Mengyun Wu et al. BIOMETRICS
- Integration of Bioinformatic Predictions and Experimental Data to Identify circRNA-miRNA Associations
- (2019) Martina Dori et al. Genes
- Bringing radiomics into a multi-omics framework for a comprehensive genotype–phenotype characterization of oncological diseases
- (2019) Mario Zanfardino et al. Journal of Translational Medicine
- A network-based approach to identify deregulated pathways and drug effects in metabolic syndrome
- (2019) Karla Misselbeck et al. Nature Communications
- Disease phenotype synonymous prediction through network representation learning from PubMed database
- (2019) Shiwen Ma et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Neural inductive matrix completion with graph convolutional networks for miRNA-disease association prediction
- (2019) Jin Li et al. BIOINFORMATICS
- Integrate multi-omics data with biological interaction networks using Multi-view Factorization AutoEncoder (MAE)
- (2019) Tianle Ma et al. BMC GENOMICS
- SemaTyP: a knowledge graph based literature mining method for drug discovery
- (2018) Shengtian Sang et al. BMC BIOINFORMATICS
- HNMDA: heterogeneous network-based miRNA–disease association prediction
- (2018) Li-Hong Peng et al. MOLECULAR GENETICS AND GENOMICS
- Predict MiRNA-Disease Association with Collaborative Filtering
- (2018) Yatong Jiang et al. NEUROINFORMATICS
- Predicting cancer outcomes from histology and genomics using convolutional networks
- (2018) Pooya Mobadersany et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Review of Drug Repositioning Approaches and Resources
- (2018) Hanqing Xue et al. International Journal of Biological Sciences
- OUP accepted manuscript
- (2018) NUCLEIC ACIDS RESEARCH
- Circ2Disease: a manually curated database of experimentally validated circRNAs in human disease
- (2018) Dongxia Yao et al. Scientific Reports
- LNCipedia 5: towards a reference set of human long non-coding RNAs
- (2018) Pieter-Jan Volders et al. NUCLEIC ACIDS RESEARCH
- Human Disease Ontology 2018 update: classification, content and workflow expansion
- (2018) Lynn M Schriml et al. NUCLEIC ACIDS RESEARCH
- LncRNA2Target v2.0: a comprehensive database for target genes of lncRNAs in human and mouse
- (2018) Liang Cheng et al. NUCLEIC ACIDS RESEARCH
- Predicting disease-genes based on network information loss and protein complexes in heterogeneous network
- (2018) Xiujuan Lei et al. INFORMATION SCIENCES
- Human pathway-based disease network
- (2017) Liang Yu et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- An oral cavity squamous cell carcinoma quantitative histomorphometric-based image classifier of nuclear morphology can risk stratify patients for disease-specific survival
- (2017) Cheng Lu et al. MODERN PATHOLOGY
- CircRNA: functions and properties of a novel potential biomarker for cancer
- (2017) Shujuan Meng et al. Molecular Cancer
- exoRBase: a database of circRNA, lncRNA and mRNA in human blood exosomes
- (2017) Shengli Li et al. NUCLEIC ACIDS RESEARCH
- Database resources of the National Center for Biotechnology Information
- (2017) et al. NUCLEIC ACIDS RESEARCH
- NONCODEV5: a comprehensive annotation database for long non-coding RNAs
- (2017) ShuangSang Fang et al. NUCLEIC ACIDS RESEARCH
- miRTarBase update 2018: a resource for experimentally validated microRNA-target interactions
- (2017) Chih-Hung Chou et al. NUCLEIC ACIDS RESEARCH
- DrugBank 5.0: a major update to the DrugBank database for 2018
- (2017) David S Wishart et al. NUCLEIC ACIDS RESEARCH
- HMDB 4.0: the human metabolome database for 2018
- (2017) David S Wishart et al. NUCLEIC ACIDS RESEARCH
- Identifying important nodes by adaptive LeaderRank
- (2017) Shuang Xu et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- ChIPBase v2.0: decoding transcriptional regulatory networks of non-coding RNAs and protein-coding genes from ChIP-seq data
- (2016) Ke-Ren Zhou et al. NUCLEIC ACIDS RESEARCH
- DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants
- (2016) Janet Piñero et al. NUCLEIC ACIDS RESEARCH
- Analysis of multi-source metabolomic data using joint and individual variation explained (JIVE)
- (2015) Julia Kuligowski et al. ANALYST
- CircInteractome: A web tool for exploring circular RNAs and their interacting proteins and microRNAs
- (2015) Dawood B. Dudekula et al. RNA Biology
- Tissue-based map of the human proteome
- (2015) M. Uhlen et al. SCIENCE
- HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks
- (2014) Chuan Shi et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- An overview of MetaMap: historical perspective and recent advances
- (2014) Alan R Aronson et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Similarity network fusion for aggregating data types on a genomic scale
- (2014) Bo Wang et al. NATURE METHODS
- LncRBase: An Enriched Resource for lncRNA Information
- (2014) Sohini Chakraborty et al. PLoS One
- circBase: a database for circular RNAs
- (2014) Petar Glažar et al. RNA
- Human symptoms–disease network
- (2014) XueZhong Zhou et al. Nature Communications
- The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
- (2013) Kenneth Clark et al. JOURNAL OF DIGITAL IMAGING
- A framework for human microbiome research
- (2012) NATURE
- The cBio Cancer Genomics Portal: An Open Platform for Exploring Multidimensional Cancer Genomics Data: Figure 1.
- (2012) Ethan Cerami et al. Cancer Discovery
- Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases
- (2010) Dong Wang et al. BIOINFORMATICS
- Imaging genomics
- (2010) Paul M Thompson et al. CURRENT OPINION IN NEUROLOGY
- Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis
- (2009) Ronglai Shen et al. BIOINFORMATICS
- Biopython: freely available Python tools for computational molecular biology and bioinformatics
- (2009) P. J. A. Cock et al. BIOINFORMATICS
- Construction of a cancer-perturbed protein-protein interaction network for discovery of apoptosis drug targets
- (2008) Liang-Hui Chu et al. BMC Systems Biology
- Human Protein Reference Database--2009 update
- (2008) T. S. Keshava Prasad et al. NUCLEIC ACIDS RESEARCH
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started