[HTML][HTML] Advances in understanding–genetic basis of intellectual disability

P Chiurazzi, F Pirozzi - F1000Research, 2016 - ncbi.nlm.nih.gov
Intellectual disability is the most common developmental disorder characterized by a
congenital limitation in intellectual functioning and adaptive behavior. It often co-occurs with …

[HTML][HTML] The role of protein interaction networks in systems biomedicine

T Sevimoglu, KY Arga - Computational and structural biotechnology journal, 2014 - Elsevier
The challenging task of studying and modeling complex dynamics of biological systems in
order to describe various human diseases has gathered great interest in recent years. Major …

The complex genetics of hypoplastic left heart syndrome

X Liu, H Yagi, S Saeed, AS Bais, GC Gabriel, Z Chen… - Nature …, 2017 - nature.com
Congenital heart disease (CHD) affects up to 1% of live births. Although a genetic etiology is
indicated by an increased recurrence risk,, sporadic occurrence suggests that CHD genetics …

Identification of essential proteins based on a new combination of local interaction density and protein complexes

J Luo, Y Qi - PloS one, 2015 - journals.plos.org
Background Computational approaches aided by computer science have been used to
predict essential proteins and are faster than expensive, time-consuming, laborious …

Computational approaches for prioritizing candidate disease genes based on PPI networks

W Lan, J Wang, M Li, W Peng… - Tsinghua Science and …, 2015 - ieeexplore.ieee.org
With the continuing development and improvement of genome-wide techniques, a great
number of candidate genes are discovered. How to identify the most likely disease genes …

A large-scale benchmark of gene prioritization methods

D Guala, ELL Sonnhammer - Scientific reports, 2017 - nature.com
In order to maximize the use of results from high-throughput experimental studies, eg GWAS,
for identification and diagnostics of new disease-associated genes, it is important to have …

Identification of oral cancer related candidate genes by integrating protein-protein interactions, gene ontology, pathway analysis and immunohistochemistry

R Kumar, SK Samal, S Routray, R Dash, A Dixit - Scientific Reports, 2017 - nature.com
In the recent years, bioinformatics methods have been reported with a high degree of
success for candidate gene identification. In this milieu, we have used an integrated …

A network-based method for brain disease gene prediction by integrating brain connectome and molecular network

W Wang, R Han, M Zhang, Y Wang… - Briefings in …, 2022 - academic.oup.com
Brain disease gene identification is critical for revealing the biological mechanism and
develo** drugs for brain diseases. To enhance the identification of brain disease genes …

Systematic interrogation of diverse Omic data reveals interpretable, robust, and generalizable transcriptomic features of clinically successful therapeutic targets

AD Rouillard, MR Hurle, P Agarwal - PLoS Computational Biology, 2018 - journals.plos.org
Target selection is the first and pivotal step in drug discovery. An incorrect choice may not
manifest itself for many years after hundreds of millions of research dollars have been spent …

Large-scale mining disease comorbidity relationships from post-market drug adverse events surveillance data

C Zheng, R Xu - BMC bioinformatics, 2018 - Springer
Background Systems approaches in studying disease relationship have wide applications in
biomedical discovery, such as disease mechanism understanding and drug discovery. The …