SiSGC: A Drug Repositioning Prediction Model Based on Heterogeneous Simplifying Graph Convolution
Drug repositioning plays a key role in disease treatment. With the large-scale chemical data
increasing, many computational methods are utilized for drug–disease association …
increasing, many computational methods are utilized for drug–disease association …
miPEPPred-FRL: a novel method for predicting plant miRNA-encoded peptides using adaptive feature representation learning
H Li, J Meng, Z Wang, Y Tang, S Xia… - Journal of Chemical …, 2023 - ACS Publications
MicroRNAs (miRNAs) are an essential type of small molecule RNAs that play significant
regulatory roles in organisms. Recent studies have demonstrated that small open reading …
regulatory roles in organisms. Recent studies have demonstrated that small open reading …
Likelihood-based feature representation learning combined with neighborhood information for predicting circRNA–miRNA associations
Connections between circular RNAs (circRNAs) and microRNAs (miRNAs) assume a pivotal
position in the onset, evolution, diagnosis and treatment of diseases and tumors. Selecting …
position in the onset, evolution, diagnosis and treatment of diseases and tumors. Selecting …
CollaPPI: A Collaborative Learning Framework for Predicting Protein-Protein Interactions
W Ma, X Bi, H Jiang, S Zhang… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Exploring protein-protein interaction (PPI) is of paramount importance for elucidating the
intrinsic mechanism of various biological processes. Nevertheless, experimental …
intrinsic mechanism of various biological processes. Nevertheless, experimental …
GEHGAN: CircRNA–disease association prediction via graph embedding and heterogeneous graph attention network
Y Wang, P Lu - Computational Biology and Chemistry, 2024 - Elsevier
There is growing proof suggested that circRNAs play a crucial function in diverse important
biological reactions related to human diseases. Within the area of biochemistry, a massive …
biological reactions related to human diseases. Within the area of biochemistry, a massive …
行列・テンソル分解によるヘテロバイオデータ統合解析の数理―第5 回ランダムウォーク―
露崎弘毅 - JSBi Bioinformatics Review, 2024 - jstage.jst.go.jp
生命科学分野で取得されるデータ集合は, 雑多 (ヘテロ) な構造になり, ヘテロなデータ構造を扱える
理論的な枠組みがもとめられている. 本連載では, 汎用的なヘテロバイオデータの解析手法である …
理論的な枠組みがもとめられている. 本連載では, 汎用的なヘテロバイオデータの解析手法である …