A random forest based computational model for predicting novel lncRNA-disease associations
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A random forest based computational model for predicting novel lncRNA-disease associations
Authors
Keywords
-
Journal
BMC BIOINFORMATICS
Volume 21, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-03-27
DOI
10.1186/s12859-020-3458-1
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Novel Network-Based Computational Model for Prediction of Potential LncRNA–Disease Association
- (2019) Yang Liu et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual information
- (2019) Xiao-Nan Fan et al. BMC BIOINFORMATICS
- Dual Convolutional Neural Networks With Attention Mechanisms Based Method for Predicting Disease-Related lncRNA Genes
- (2019) Ping Xuan et al. Frontiers in Genetics
- A novel collaborative filtering model for LncRNA-disease association prediction based on the Naïve Bayesian classifier
- (2019) Jingwen Yu et al. BMC BIOINFORMATICS
- NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations
- (2019) Ying-Lian Gao et al. BMC BIOINFORMATICS
- Weighted matrix factorization on multi-relational data for LncRNA-disease association prediction
- (2019) Yuehui Wang et al. METHODS
- Long Noncoding RNA MIR17HG Promotes Colorectal Cancer Progression via miR-17-5p
- (2019) Jie Xu et al. CANCER RESEARCH
- CNNDLP: A Method Based on Convolutional Autoencoder and Convolutional Neural Network with Adjacent Edge Attention for Predicting lncRNA–Disease Associations
- (2019) Ping Xuan et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- LDAPred: A Method Based on Information Flow Propagation and a Convolutional Neural Network for the Prediction of Disease-Associated lncRNAs
- (2019) Ping Xuan et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Predicting lncRNA-disease associations using network topological similarity based on deep mining heterogeneous networks
- (2019) Hui Zhang et al. MATHEMATICAL BIOSCIENCES
- Network Diffusion Approach to Predict LncRNA Disease Associations Using Multi-Type Biological Networks: LION
- (2019) Marissa Sumathipala et al. Frontiers in Physiology
- Construction and Comprehensive Analysis of a Molecular Association Network via lncRNA–miRNA –Disease–Drug–Protein Graph
- (2019) Guo et al. Cells
- Graph Convolutional Network and Convolutional Neural Network Based Method for Predicting lncRNA-Disease Associations
- (2019) Xuan et al. Cells
- An improved random forest-based computational model for predicting novel miRNA-disease associations
- (2019) Dengju Yao et al. BMC BIOINFORMATICS
- SKF-LDA: Similarity Kernel Fusion for Predicting lncRNA-Disease Association
- (2019) Guobo Xie et al. Molecular Therapy-Nucleic Acids
- Prediction of lncRNA–disease associations based on inductive matrix completion
- (2018) Chengqian Lu et al. BIOINFORMATICS
- A Novel Method for LncRNA-Disease Association Prediction Based on an lncRNA-disease Association Network
- (2018) pengyao ping et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- TPGLDA: Novel prediction of associations between lncRNAs and diseases via lncRNA-disease-gene tripartite graph
- (2018) Liang Ding et al. Scientific Reports
- LncRNA PRNCR1 interacts with HEY2 to abolish miR-448-mediated growth inhibition in non-small cell lung cancer
- (2018) Dezhi Cheng et al. BIOMEDICINE & PHARMACOTHERAPY
- Computational models for lncRNA function prediction and functional similarity calculation
- (2018) Xing Chen et al. Briefings in Functional Genomics
- MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction
- (2018) Xing Chen et al. PLoS Computational Biology
- Novel Human miRNA-Disease Association Inference Based on Random Forest
- (2018) Xing Chen et al. Molecular Therapy-Nucleic Acids
- BPLLDA: Predicting lncRNA-Disease Associations Based on Simple Paths With Limited Lengths in a Heterogeneous Network
- (2018) Xiaofang Xiao et al. Frontiers in Genetics
- Integrating Multiple Heterogeneous Networks for Novel LncRNA-disease Association Inference
- (2017) Jingpu Zhang et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- BRWLDA: bi-random walks for predicting lncRNA-disease associations
- (2017) Guoxian Yu et al. Oncotarget
- Global network random walk for predicting potential human lncRNA-disease associations
- (2017) Changlong Gu et al. Scientific Reports
- LncDisease: a sequence based bioinformatics tool for predicting lncRNA-disease associations
- (2016) Junyi Wang et al. NUCLEIC ACIDS RESEARCH
- NLLSS: Predicting Synergistic Drug Combinations Based on Semi-supervised Learning
- (2016) Xing Chen et al. PLoS Computational Biology
- Drug–target interaction prediction: databases, web servers and computational models
- (2015) Xing Chen et al. BRIEFINGS IN BIOINFORMATICS
- miR-17-92 host gene, uderexpressed in gastric cancer and its expression was negatively correlated with the metastasis
- (2015) P Nikpour et al. INDIAN JOURNAL OF CANCER
- A novel random forests-based feature selection method for microarray expression data analysis
- (2015) Dengju Yao et al. International Journal of Data Mining and Bioinformatics
- Prioritizing candidate disease-related long non-coding RNAs by walking on the heterogeneous lncRNA and disease network
- (2015) Meng Zhou et al. Molecular BioSystems
- Identification of cancer-related lncRNAs through integrating genome, regulome and transcriptome features
- (2015) Tingting Zhao et al. Molecular BioSystems
- Lnc2Cancer: a manually curated database of experimentally supported lncRNAs associated with various human cancers
- (2015) Shangwei Ning et al. NUCLEIC ACIDS RESEARCH
- Predicting lncRNA-disease associations and constructing lncRNA functional similarity network based on the information of miRNA
- (2015) Xing Chen Scientific Reports
- KATZLDA: KATZ measure for the lncRNA-disease association prediction
- (2015) Xing Chen Scientific Reports
- Constructing lncRNA functional similarity network based on lncRNA-disease associations and disease semantic similarity
- (2015) Xing Chen et al. Scientific Reports
- miR-17-92 host gene, uderexpressed in gastric cancer and its expression was negatively correlated with the metastasis
- (2015) P Nikpour et al. INDIAN JOURNAL OF CANCER
- The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
- (2015) Takaya Saito et al. PLoS One
- LncRNA: A link between RNA and cancer
- (2014) Guodong Yang et al. Biochimica et Biophysica Acta-Gene Regulatory Mechanisms
- Inferring novel lncRNA–disease associations based on a random walk model of a lncRNA functional similarity network
- (2014) Jie Sun et al. Molecular BioSystems
- Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data
- (2014) Warren A. Kibbe et al. NUCLEIC ACIDS RESEARCH
- A Computational Framework to Infer Human Disease-Associated Long Noncoding RNAs
- (2014) Ming-Xi Liu et al. PLoS One
- A bioinformatics method for predicting long noncoding RNAs associated with vascular disease
- (2014) JianWei Li et al. Science China-Life Sciences
- Novel human lncRNA–disease association inference based on lncRNA expression profiles
- (2013) Xing Chen et al. BIOINFORMATICS
- Computational prediction of associations between long non-coding RNAs and proteins
- (2013) Qiongshi Lu et al. BMC GENOMICS
- Long Non-Coding RNAs and Complex Human Diseases
- (2013) Jing Li et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- starBase v2.0: decoding miRNA-ceRNA, miRNA-ncRNA and protein–RNA interaction networks from large-scale CLIP-Seq data
- (2013) Jun-Hao Li et al. NUCLEIC ACIDS RESEARCH
- HMDD v2.0: a database for experimentally supported human microRNA and disease associations
- (2013) Yang Li et al. NUCLEIC ACIDS RESEARCH
- LncRNADisease: a database for long-non-coding RNA-associated diseases
- (2012) Geng Chen et al. NUCLEIC ACIDS RESEARCH
- Genetic variants at the 9p21 locus contribute to atherosclerosis through modulation of ANRIL and CDKN2A/B
- (2011) Ada Congrains et al. ATHEROSCLEROSIS
- Long non-coding RNAs in Huntington's disease neurodegeneration
- (2011) Rory Johnson NEUROBIOLOGY OF DISEASE
- Mining data with random forests: A survey and results of new tests
- (2010) A. Verikas et al. PATTERN RECOGNITION
- Large-scale prediction of long disordered regions in proteins using random forests
- (2009) Pengfei Han et al. BMC BIOINFORMATICS
- Evolution and Functions of Long Noncoding RNAs
- (2009) Chris P. Ponting et al. CELL
- Identification of DNA-binding Proteins Using Structural, Electrostatic and Evolutionary Features
- (2009) Guy Nimrod et al. JOURNAL OF MOLECULAR BIOLOGY
- Expression of a noncoding RNA is elevated in Alzheimer's disease and drives rapid feed-forward regulation of β-secretase
- (2008) Mohammad Ali Faghihi et al. NATURE MEDICINE
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started