Bipartite graphs in systems biology and medicine: a survey of methods and applications

GA Pavlopoulos, PI Kontou, A Pavlopoulou… - …, 2018 - academic.oup.com
The latest advances in high-throughput techniques during the past decade allowed the
systems biology field to expand significantly. Today, the focus of biologists has shifted from …

Machine learning integrated ensemble of feature selection methods followed by survival analysis for predicting breast cancer subtype specific miRNA biomarkers

JP Sarkar, I Saha, A Sarkar, U Maulik - Computers in Biology and Medicine, 2021 - Elsevier
Breast cancer is the second leading cancer type among females. In this regard, it is found
that microRNAs play an important role by regulating the gene expressions at the post …

Toward heterogeneous information fusion: bipartite graph convolutional networks for in silico drug repurposing

Z Wang, M Zhou, C Arnold - Bioinformatics, 2020 - academic.oup.com
Motivation Mining drug–disease association and related interactions are essential for
developing in silico drug repurposing (DR) methods and understanding underlying …

STAT3 and STAT5 targeting for simultaneous management of melanoma and autoimmune diseases

S Logotheti, BM Pützer - Cancers, 2019 - mdpi.com
Melanoma is a skin cancer which can become metastatic, drug-refractory, and lethal if
managed late or inappropriately. An increasing number of melanoma patients exhibits …

Causal bandits with unknown graph structure

Y Lu, A Meisami, A Tewari - Advances in Neural …, 2021 - proceedings.neurips.cc
In causal bandit problems the action set consists of interventions on variables of a causal
graph. Several researchers have recently studied such bandit problems and pointed out …

Results of the Seventh Scientific Workshop of ECCO: precision medicine in IBD—what, why, and how

C Fiocchi, G Dragoni, D Iliopoulos… - Journal of Crohn's …, 2021 - academic.oup.com
Many diseases that affect modern humans fall in the category of complex diseases, thus
called because they result from a combination of multiple aetiological and pathogenic …

Sample efficient active learning of causal trees

K Greenewald, D Katz, K Shanmugam… - Advances in …, 2019 - proceedings.neurips.cc
We consider the problem of experimental design for learning causal graphs that have a tree
structure. We propose an adaptive framework that determines the next intervention based on …

The genome sequence and transcriptome of Potentilla micrantha and their comparison to Fragaria vesca (the woodland strawberry)

M Buti, M Moretto, E Barghini, F Mascagni, L Natali… - …, 2018 - academic.oup.com
Abstract Background The genus Potentilla is closely related to that of Fragaria, the
economically important strawberry genus. Potentilla micrantha is a species that does not …

Computational analysis of multimorbidity between asthma, eczema and rhinitis

D Aguilar, M Pinart, GH Koppelman, Y Saeys… - PLoS …, 2017 - journals.plos.org
Background The mechanisms explaining the co-existence of asthma, eczema and rhinitis
(allergic multimorbidity) are largely unknown. We investigated the mechanisms underlying …

Drug genetic associations with COVID-19 manifestations: a data mining and network biology approach

T Charitou, PI Kontou, IA Tamposis… - The …, 2022 - nature.com
Available drugs have been used as an urgent attempt through clinical trials to minimize
severe cases of hospitalizations with Coronavirus disease (COVID-19), however, there are …