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 …

Computational disease gene prioritization: an appraisal

N Gill, S Singh, TC Aseri - Journal of Computational Biology, 2014 - liebertpub.com
Bioinformatics aids in the understanding of the biological processes of living beings and the
genetic architecture of human diseases. The discovery of disease-related genes improves …

Network-based ranking methods for prediction of novel disease associated microRNAs

DH Le - Computational Biology and Chemistry, 2015 - Elsevier
Background Many studies have shown roles of microRNAs on human disease and a
number of computational methods have been proposed to predict such associations by …

Diverse type 2 diabetes genetic risk factors functionally converge in a phenotype-focused gene network

C Sandor, NL Beer, C Webber - PLoS computational biology, 2017 - journals.plos.org
Type 2 Diabetes (T2D) constitutes a global health burden. Efforts to uncover predisposing
genetic variation have been considerable, yet detailed knowledge of the underlying …

In Silico Analysis of the Effect of Hydrastis canadensis on Controlling Breast Cancer

H Vyshnavi AM, S Sankaran, K Namboori PK… - Medicina, 2023 - mdpi.com
Background and Objectives: Breast cancer is a significant type of cancer among women
worldwide. Studies have reported the anti-carcinogenic activity of Hydrastis Canadensis …

Bioinformatics tools for the functional interpretation of quantitative proteomics results

T Nunez Villavicencio-Diaz… - Current topics in …, 2014 - ingentaconnect.com
Proteins are the principal mediators of the functions in the cell; therefore, any abnormal
variations on their abundance levels may reflect the presence of pathological processes. In …

[PDF][PDF] A leader genes approach-based tool for molecular genomics: from gene-ranking to gene-network systems biology and biotargets predictions

NL Bragazzi, C Nicolini - J Comput Sci Syst Biol, 2013 - researchgate.net
Nanogenomics, being the interplay of nanobiotechnologies and bioinformatics, is emerging
as an intriguing approach in the field of nowadays biomedicine. Microarrays can produce a …

Profiling, bioinformatic, and functional data on the developing olfactory/GnRH system reveal cellular and molecular pathways essential for this process and potentially …

G Garaffo, P Provero, I Molineris, P Pinciroli… - Frontiers in …, 2013 - frontiersin.org
During embryonic development, immature neurons in the olfactory epithelium (OE) extend
axons through the nasal mesenchyme, to contact projection neurons in the olfactory bulb …

Applications of random walk model on biological networks

W Peng, J Wang, Z Zhang, FX Wu - Current Bioinformatics, 2016 - ingentaconnect.com
Biological networks play a significant role in addressing biological problems. Random walk
model is a highly efficient way to study networks which has been widely used in solving …

NECorr, a tool to rank gene importance in biological processes using molecular networks and transcriptome data

C Liseron-Monfils, A Olson, D Ware - bioRxiv, 2018 - biorxiv.org
The challenge of increasing crop yield while decreasing plants' susceptibility to various
stresses can be lessened by understanding plant regulatory processes in a tissue-specific …