iGRLCDA: identifying circRNA–disease association based on graph representation learning
While the technologies of ribonucleic acid-sequence (RNA-seq) and transcript assembly
analysis have continued to improve, a novel topology of RNA transcript was uncovered in …
analysis have continued to improve, a novel topology of RNA transcript was uncovered in …
A Survey of Recent Techniques in Computational Drug Repurposing
The number of rare and unidentified diseases is increasing daily, and there are also
diseases without proper drugs, like COVID-19. Drug repurposing is the investigation of …
diseases without proper drugs, like COVID-19. Drug repurposing is the investigation of …
A Drug-Virus Prediction Model Based on an Ensemble Classifier with Feature Optimization: A Case Study with COVID-19
Effective therapeutics are still unavailable for the contagious COVID-19, which originated in
Wuhan in December 2019. It is induced by the newly emerged severe acute respiratory …
Wuhan in December 2019. It is induced by the newly emerged severe acute respiratory …
[引用][C] An ensemble approach for prioritizing antivirals against COVID-19 via heterogeneous network inference-based inductive matrix completion
AS Aruna, KR Remesh Babu… - Journal of Computational …, 2023 - World Scientific
The global spread of COVID-19 caused by the severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2) originated in Wuhan in December 2019, created a massive …
coronavirus 2 (SARS-CoV-2) originated in Wuhan in December 2019, created a massive …