output
20162025
most citedAssociative Learning Mechanism for Drug-Target Interaction Prediction

72 citations

5 papers

cs.CL2025★ 2 cited

Overview of CHIP 2025 Shared Task 2: Discharge Medication Recommendation for Metabolic Diseases Based on Chinese Electronic Health Records

Juntao Li, Haobin Yuan, Ling Luo +8

Discharge medication recommendation plays a critical role in ensuring treatment continuity, preventing readmission, and improving long-term management for patients with chronic met…

cs.LG2024★ 1 cited

PARAFAC2-based Coupled Matrix and Tensor Factorizations with Constraints

Carla Schenker, Xiulin Wang, David Horner +2

Data fusion models based on Coupled Matrix and Tensor Factorizations (CMTF) have been effective tools for joint analysis of data from multiple sources. While the vast majority of C…

q-bio.BM2022★ 72 cited

Associative Learning Mechanism for Drug-Target Interaction Prediction

Zhiqin Zhu, Zheng Yao, Guanqiu Qi +2

As a necessary process in drug development, finding a drug compound that can selectively bind to a specific protein is highly challenging and costly. Drug-target affinity (DTA), wh…

q-bio.QM2018★ 14 cited

Intertrochanteric Fracture Visualization and Analysis Using a Map Projection Technique

Yucheng Fu, Rong Liu, Yang Liu +1

Understanding intertrochanteric fracture distribution is an important topic in orthopaedics due to its high morbidity and mortality. The intertrochanteric fracture can contain high…

astro-ph.CO2016★ 57 cited

Cosmological constraints on coupled dark energy

Weiqiang Yang, Hang Li, Yabo Wu +1

The coupled dark energy model provides a possible approach to mitigate the coincidence problem of cosmological standard model. Here, the coupling term is assumed as $\bar{Q}=3Hξ_x\…