Zhen-hao Guo

Ueruemqi, 830011, China

Last Updated: 09/26/2026

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Found 14 publications

A Novel Method to Predict Drug-Target Interactions Based on Large-Scale Graph Representation Learning.

A Novel Method to Predict Drug-Target Interactions Based on Large-Scale Graph Representation Learning.

Journal: Cancers

Published: March 27, 2021

iMDA-BN: Identification of miRNA-disease associations based on the biological network and graph embedding algorithm.

iMDA-BN: Identification of miRNA-disease associations based on the biological network and graph embedding algorithm.

Journal: Computational and structural biotechnology journal

Published: July 04, 2020

Prediction of drug-target interactions from multi-molecular network based on LINE network representation method.

Prediction of drug-target interactions from multi-molecular network based on LINE network representation method.

Journal: Journal of translational medicine

Published: March 03, 2020

Prediction of Drug-Target Interactions From Multi-Molecular Network Based on Deep Walk Embedding Model.

Prediction of Drug-Target Interactions From Multi-Molecular Network Based on Deep Walk Embedding Model.

Journal: Frontiers in bioengineering and biotechnology

Published: January 20, 2020

MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm.

MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm.

Journal: Briefings in bioinformatics

Published: December 05, 2019

Learning Representations to Predict Intermolecular Interactions on Large-Scale Heterogeneous Molecular Association Network.

Learning Representations to Predict Intermolecular Interactions on Large-Scale Heterogeneous Molecular Association Network.

Journal: iScience

Published: December 03, 2019

Bioentity2vec: Attribute- and behavior-driven representation for predicting multi-type relationships between bioentities.

Bioentity2vec: Attribute- and behavior-driven representation for predicting multi-type relationships between bioentities.

Journal: GigaScience

Published: November 07, 2019

A learning based framework for diverse biomolecule relationship prediction in molecular association network.

A learning based framework for diverse biomolecule relationship prediction in molecular association network.

Journal: Communications biology

Published: September 24, 2019

iCDA-CGR: Identification of circRNA-disease associations based on Chaos Game Representation.

iCDA-CGR: Identification of circRNA-disease associations based on Chaos Game Representation.

Journal: PLoS computational biology

Published: September 11, 2019

Integrative Construction and Analysis of Molecular Association Network in Human Cells by Fusing Node Attribute and Behavior Information.

Integrative Construction and Analysis of Molecular Association Network in Human Cells by Fusing Node Attribute and Behavior Information.

Journal: Molecular therapy. Nucleic acids

Published: August 28, 2019

Construction and Analysis of Molecular Association Network by Combining Behavior Representation and Node Attributes.

Construction and Analysis of Molecular Association Network by Combining Behavior Representation and Node Attributes.

Journal: Frontiers in genetics

Published: August 08, 2019

RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information.

RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information.

Journal: BMC bioinformatics

Published: July 18, 2019

Showing 1-12 of 14

Last Updated: 09/26/2026