A key aim of post-genomic biomedical research is to systematically understand molecules and their interactions in human cells.

In this study, we propose a network representation learning based computational framework MAN-SDNE to predict any intermolecular associations. More specifically ...

Experimental results demonstrate this work offers a systematic insight for understanding the synergistic associations between molecules and complex diseases and ...

Dec 8, 2021 · In this study, we propose a network representation learning based computational framework MAN-SDNE to predict any intermolecular associations.

Experimental results demonstrate this work offers a systematic insight for understanding the synergistic associations between molecules and complex diseases and ...

Jun 11, 2020 · To this end, a heterogeneous molecular association network is formed by systematically integrating comprehensive associations between miRNAs, ...

Experimental results demonstrate this work offers a systematic insight for understanding the synergistic associations between molecules and complex diseases ...

Jul 24, 2020 · The molecular association network is formed by connecting multitype intermolecular associations among mRNAs, proteins, miRNAs, lncRNAs, circRNAs ...

Feb 11, 2020 · Experimental results demonstrate this work offers a systematic insight for understanding the synergistic associations between molecules and ...

Jul 24, 2020 · We propose a machine learning method for predicting intermolecular interactions, named MMI-Pred.