Unveiling hidden connections in omics data via pyPARAGON: an integrative hybrid approach for disease network construction
Network inference or reconstruction algorithms play an integral role in successfully
analyzing and identifying causal relationships between omics hits for detecting dysregulated …
analyzing and identifying causal relationships between omics hits for detecting dysregulated …
[PDF][PDF] A Machine Learning Tour in Network Science
FD Malliaros - 2024 - hal.science
Graphs, also known as networks, are widely used data structures for modeling complex
systems in various fields, from the social sciences to biology and engineering. The strength …
systems in various fields, from the social sciences to biology and engineering. The strength …
Multilayer Graph Embeddings for Omics Data Integration in Bioinformatics
S Jagtap - 2023 - theses.hal.science
Biological systems are composed of interacting bio-molecules at different molecular levels.
With the advent of high-throughput technologies, omics data at their respective molecular …
With the advent of high-throughput technologies, omics data at their respective molecular …
基于多视图矩阵补全的蛋白受体功能预测
黄玮翔， 丁季， 刘夏栩， 殷勤， 兰闯闯… - 南京大学学报 (自然科学 …, 2024 - jns.nju.edu.cn
摘要蛋白受体是细胞信号转导的重要组成部分, 也是人类最重要的药物靶点, 其中G
蛋白偶联受体(G Protein Coupled Receptors, GPCRs) 占绝大部分, 目前市场上大约34 …
蛋白偶联受体(G Protein Coupled Receptors, GPCRs) 占绝大部分, 目前市场上大约34 …