Lacking mechanistic disease definitions and corresponding association data hamper progress in network medicine and beyond

S Sadegh, J Skelton, E Anastasi, A Maier… - Nature …, 2023 - nature.com
A long-term objective of network medicine is to replace our current, mainly phenotype-based
disease definitions by subtypes of health conditions corresponding to distinct …

Drugst. One—a plug-and-play solution for online systems medicine and network-based drug repurposing

A Maier, M Hartung, M Abovsky… - Nucleic Acids …, 2024 - academic.oup.com
In recent decades, the development of new drugs has become increasingly expensive and
inefficient, and the molecular mechanisms of most pharmaceuticals remain poorly …

Artificial Intelligence with Great Potential in Medical Informatics: A Brief Review

H Lin - Medinformatics, 2024 - ojs.bonviewpress.com
In the 1950s and 1960s, in molecular biology, information technology was mainly applied to
the molecular evolution of proteins and DNA, and later expanded to multiple fields such as …

[HTML][HTML] Role of PCK2 in the proliferation of vascular smooth muscle cells in neointimal hyperplasia

J Kang, HJ Heo, EK Kim, K Kim, JM Kang… - … Journal of Biological …, 2022 - ncbi.nlm.nih.gov
Vascular smooth muscle cell (VSMC) proliferation is a hallmark of neointimal hyperplasia
(NIH) in atherosclerosis and restenosis post-balloon angioplasty and stent insertion …

Ensemble classification based signature discovery for cancer diagnosis in RNA expression profiles across different platforms

X Zhao, T Liu, G Wang - Briefings in Bioinformatics, 2022 - academic.oup.com
Molecular signatures have been excessively reported for diagnosis of many cancers during
the last 20 years. However, false-positive signatures are always found using statistical …

[图书][B] Biological pattern discovery with R: Machine learning approaches

ZR Yang - 2021 - World Scientific
Classical approaches have been used for solving biological systems since the Newton time.
Most of the earlier effort has reduced a system to the simplest levels for the study. Such an …

DESMOND 2.0: Identification of differentially expressed biclusters for unsupervised patient stratification

O Zolotareva, OV Isaeva, M Hartung… - …, 2022 - drugrepocentral.scienceopen.com
Unsupervised patient stratification based on omics data is traditionally approached by
clustering methods which may be inefficient for datasets with multiple patterns overlapping …