most citedA Node Embedding Framework for Integration of Similarity-based Drug Combination Prediction

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.QM2020

Identification and Validation of the SNV Biomarkers Based on Multi-Dimensional Patterns

Bo Li, Junying Zhang, Liang Yu

Background: Single nucleotide variants (SNVs) are detected as different distributions of DNA samples of distinct types of cancer patients. Even though, it is an exacting task to se…

q-bio.QM20202 cited

A Node Embedding Framework for Integration of Similarity-based Drug Combination Prediction

Liang Yu, Mingfei Xia, Lin Gao

Motivation: Drug combination is a sensible strategy for disease treatment by improving the efficacy and reducing concomitant side effects. Due to the large number of possible combi…

q-bio.GN2017

Predicting potential treatments for complex diseases based on miRNA and tissue specificity

Liang Yu, Jin Zhao, Lin Gao

Drug repositioning, that is finding new uses for existing drugs to treat more patients. Cumulative studies demonstrate that the mature miRNAs as well as their precursors can be tar…

q-bio.GN2017

Discovery of new drug therapeutic indications from gene mutation information for hepatocellular carcinoma

Liang Yu, Fengdan Xu, Lin Gao

Hepatocellular carcinoma (HCC) is the most common primary liver malignancy and is a leading cause of cancer-related death worldwide. However, cure is not possible with currently us…

q-bio.TO20171 cited

Predicting therapeutic and aggravating drugs for hepatocellular carcinoma based on tissue-specific pathways

Liang Yu, Fengdan Xu, Lin Gao

Motivation: Hepatocellular carcinoma (HCC) is a significant health problem worldwide and annual number of cases are nearly more than 700,000. However,there are few safe and effecti…