Managing, analysing, and integrating big data in medical bioinformatics: open problems and future perspectives

I Merelli, H Pérez-Sánchez, S Gesing… - BioMed research …, 2014 - Wiley Online Library
The explosion of the data both in the biomedical research and in the healthcare systems
demands urgent solutions. In particular, the research in omics sciences is moving from a …

Understanding the role of the kynurenine pathway in human breast cancer immunobiology

B Heng, CK Lim, DB Lovejoy, A Bessede, L Gluch… - …, 2015 - pmc.ncbi.nlm.nih.gov
Breast cancer (BrCa) is the leading cause of cancer related death in women. While current
diagnostic modalities provide opportunities for early medical intervention, significant …

Predicting factors for survival of breast cancer patients using machine learning techniques

MD Ganggayah, NA Taib, YC Har, P Lio… - BMC medical informatics …, 2019 - Springer
Background Breast cancer is one of the most common diseases in women worldwide. Many
studies have been conducted to predict the survival indicators, however most of these …

Prediction of microRNAs Associated with Human Diseases Based on Weighted k Most Similar Neighbors

P Xuan, K Han, M Guo, Y Guo, J Li, J Ding, Y Liu… - PloS one, 2013 - journals.plos.org
Background The identification of human disease-related microRNAs (disease miRNAs) is
important for further investigating their involvement in the pathogenesis of diseases. More …

Prediction of potential disease-associated microRNAs based on random walk

P Xuan, K Han, Y Guo, J Li, X Li, Y Zhong… - …, 2015 - academic.oup.com
Motivation: Identifying microRNAs associated with diseases (disease miRNAs) is helpful for
exploring the pathogenesis of diseases. Because miRNAs fulfill function via the regulation of …

Identification of lncRNA-associated competing triplets reveals global patterns and prognostic markers for cancer

P Wang, S Ning, Y Zhang, R Li, J Ye… - Nucleic acids …, 2015 - academic.oup.com
Recent studies have suggested that long non-coding RNAs (lncRNAs) can interact with
microRNAs (miRNAs) and indirectly regulate miRNA targets though competing interactions …

The BRENDA Tissue Ontology (BTO): the first all-integrating ontology of all organisms for enzyme sources

M Gremse, A Chang, I Schomburg, A Grote… - Nucleic acids …, 2010 - academic.oup.com
Abstract BTO, the BRENDA Tissue Ontology (http://www. BTO. brenda-enzymes. org)
represents a comprehensive structured encyclopedia of tissue terms. The project started in …

A meta-analysis of genome-wide association studies of breast cancer identifies two novel susceptibility loci at 6q14 and 20q11

A Siddiq, FJ Couch, GK Chen… - Human molecular …, 2012 - academic.oup.com
Genome-wide association studies (GWAS) of breast cancer defined by hormone receptor
status have revealed loci contributing to susceptibility of estrogen receptor (ER)-negative …

Human cancer databases

A Pavlopoulou, DA Spandidos… - Oncology …, 2015 - spandidos-publications.com
Cancer is one of the four major non‑communicable diseases (NCD), responsible for~ 14.6%
of all human deaths. Currently, there are> 100 different known types of cancer and> 500 …

Comparison of toxicogenomics and traditional approaches to inform mode of action and points of departure in human health risk assessment of benzo[a]pyrene in …

I Moffat, NL Chepelev, S Labib… - Critical reviews in …, 2015 - Taylor & Francis
Toxicogenomics is proposed to be a useful tool in human health risk assessment. However,
a systematic comparison of traditional risk assessment approaches with those applying …