A deep learning method for predicting metabolite–disease associations via graph neural network

Predicting Metabolite–Disease Associations Based on LightGBM Model

(2021) Cheng Zhang et al.   Frontiers in Genetics

Circular RNAs and complex diseases: from experimental results to computational models

(2021) Chun-Chun Wang et al.   BRIEFINGS IN BIOINFORMATICS

Using Network Distance Analysis to Predict lncRNA–miRNA Interactions

(2021) Li Zhang et al.   Interdisciplinary Sciences-Computational Life Sciences

HMDB 5.0: the Human Metabolome Database for 2022

(2021) David S Wishart et al.   NUCLEIC ACIDS RESEARCH

A Computational Study of Potential miRNA-Disease Association Inference Based on Ensemble Learning and Kernel Ridge Regression

(2020) Li-Hong Peng et al.   Frontiers in Bioengineering and Biotechnology

Deep-belief network for predicting potential miRNA-disease associations

(2020) Xing Chen et al.   BRIEFINGS IN BIOINFORMATICS

Deep-DRM: a computational method for identifying disease-related metabolites based on graph deep learning approaches

(2020) Tianyi Zhao et al.   BRIEFINGS IN BIOINFORMATICS

Predicting drug–disease associations through layer attention graph convolutional network

(2020) Zhouxin Yu et al.   BRIEFINGS IN BIOINFORMATICS

Predicting Metabolite-Disease Associations Based on Spy Strategy and ABC Algorithm

(2020) Xiujuan Lei et al.   Frontiers in Molecular Biosciences

Ensemble of decision tree reveals potential miRNA-disease associations

(2019) Xing Chen et al.   PLoS Computational Biology

Integrating Bipartite Network Projection and KATZ Measure to Identify Novel CircRNA-Disease Associations

(2019) Qi Zhao et al.   IEEE TRANSACTIONS ON NANOBIOSCIENCE

Predicting metabolite-disease associations based on KATZ model

(2019) Xiujuan Lei et al.   BioData Mining

NCMCMDA: miRNA–disease association prediction through neighborhood constraint matrix completion

(2019) Xing Chen et al.   BRIEFINGS IN BIOINFORMATICS

Identifying diseases-related metabolites using random walk

(2018) Yang Hu et al.   BMC BIOINFORMATICS

Salivary glucose as a diagnostic tool in Type II diabetes mellitus: A case-control study

(2016) M Dhanya et al.   Nigerian Journal of Clinical Practice

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

Fecal metabolomics: assay performance and association with colorectal cancer

(2014) James J. Goedert et al.   CARCINOGENESIS

Changes in the serum metabolite profile in obese children with weight loss

(2014) Thomas Reinehr et al.   EUROPEAN JOURNAL OF NUTRITION

Metabonomics of Human Colorectal Cancer: New Approaches for Early Diagnosis and Biomarker Discovery

(2014) Yan Ni et al.   JOURNAL OF PROTEOME RESEARCH

Secondary bile acids: an underrecognized cause of colon cancer

(2014) Hana Ajouz et al.   World Journal of Surgical Oncology

Childhood Obesity Is Associated with Changes in the Serum Metabolite Profile

(2012) Simone Wahl et al.   Obesity Facts

Metabonomic Understanding of Probiotic Effects in Humans With Irritable Bowel Syndrome

(2011) Young-Shick Hong et al.   JOURNAL OF CLINICAL GASTROENTEROLOGY

Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases

(2010) Dong Wang et al.   BIOINFORMATICS

Associating Genes and Protein Complexes with Disease via Network Propagation

(2010) Oron Vanunu et al.   PLoS Computational Biology

Urinary Metabolite Quantification Employing 2D NMR Spectroscopy

(2008) Wolfram Gronwald et al.   ANALYTICAL CHEMISTRY