Gradient boosting decision tree-based method for predicting interactions between target genes and drugs

P Xuan, C Sun, T Zhang, Y Ye, T Shen, Y Dong - Frontiers in genetics, 2019 - frontiersin.org
Determining the target genes that interact with drugs—drug–target interactions—plays an
important role in drug discovery. Identification of drug–target interactions through biological …

InfAcrOnt: calculating cross-ontology term similarities using information flow by a random walk

L Cheng, Y Jiang, H Ju, J Sun, J Peng, M Zhou, Y Hu - BMC genomics, 2018 - Springer
Background Since the establishment of the first biomedical ontology Gene Ontology (GO),
the number of biomedical ontology has increased dramatically. Nowadays over 300 …

Predicting disease-related genes using integrated biomedical networks

J Peng, K Bai, X Shang, G Wang, H Xue, S Jin… - BMC genomics, 2017 - Springer
Background Identifying the genes associated to human diseases is crucial for disease
diagnosis and drug design. Computational approaches, esp. the network-based …

A novel method to measure the semantic similarity of HPO terms

J Peng, H Xue, Y Shao, X Shang… - … Journal of Data …, 2017 - inderscienceonline.com
It is critical yet remains to be challenging to make precise disease diagnosis from complex
clinical features and highly heterogeneous genetic background. Recently, phenotype …

Predicting sub-golgi apparatus resident protein with primary sequence hybrid features

C Wang, J Li, X Liu, M Guo - Ieee Access, 2019 - ieeexplore.ieee.org
The Golgi apparatus is a significant membrane-bound organelle of eukaryotic cells that is
made up of a series of flattened, stacked pouches (called cisternae). The Golgi apparatus …

[HTML][HTML] A framework for exploring associations between biomedical terms in PubMed

H Yang, L Zhao, Y Zhang, H Ju, D Wang, Y Hu… - Oncotarget, 2017 - ncbi.nlm.nih.gov
Co-occurrence relationships in PubMed between terms accelerate the recognition of term
associations. The lack of manually curated relationships in vocabularies and the rapid …