ArticleBioMed research international2016
Correlation-Based Network Generation, Visualization, and Analysis as a Powerful Tool in Biological Studies: A Case Study in Cancer Cell Metabolism.
Article in BioMed research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
39 citing papers in PubMed.
- Psychosocial burden in type 1 diabetes: a cross-sectional network analysis in the SFDT1 study.BMJ open · 2026Article
- Digital media use and cognitive networks in medical students: linking screen time with intelligence and academic performance.Frontiers in medicine · 2026Article
- A network analysis of how obsessive-compulsive symptoms change during exposure and response prevention treatment.Psychological medicine · 2025Article
- Maternal Factors, Breast Anatomy, and Milk Production During Established Lactation-An Ultrasound Investigation.Journal of imaging · 2025Article
- Network analysis combined with genome-wide association study helps identification of genes related to amino acid contents in soybean.BMC genomics · 2025Article
- The metabolic role of vitamin D in children's neurodevelopment: a network study.Scientific reports · 2024Article
- Large airway T cells in adults with former bronchopulmonary dysplasia.Respiratory research · 2024Article
- Metabolic Connectome and Its Role in the Prediction, Diagnosis, and Treatment of Complex Diseases.Metabolites · 2024Review
- A pilot study suggests the correspondence between SAR202 bacteria and dissolved organic matter in the late stage of a year-long microcosm incubation.Frontiers in microbiology · 2024Article
- Genetic architecture of tuber-bound free amino acids in potato and effect of growing environment on the amino acid content.Scientific reports · 2023Article
- Article
- Structural brain signatures of frailty, defined as accumulation of self-reported health deficits in older adults.Frontiers in aging neuroscience · 2023Article
- Analysis of the Arabidopsis coilin mutant reveals a positive role of AtCOILIN in plant immunity.Plant physiology · 2022Article
- Microbiological properties of Beejamrit, an ancient Indian traditional knowledge, uncover a dynamic plant beneficial microbial network.World journal of microbiology & biotechnology · 2022Article
- Effects of long-term exercise and a high-fat diet on synovial fluid metabolomics and joint structural phenotypes in mice: an integrated network analysis.Osteoarthritis and cartilage · 2021Article
- Reversal of alopecia areata, osteoporosis follow treatment with activation of Tgr5 in mice.Bioscience reports · 2021Article
- SCOUR: a stepwise machine learning framework for predicting metabolite-dependent regulatory interactions.BMC bioinformatics · 2021Article
- Network Analysis in Systems Epidemiology.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2021Review
- A framework for stability-based module detection in correlation graphs.Statistical analysis and data mining · 2021Article
- Inferring ecosystem networks as information flows.Scientific reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the last decade vast data sets are being generated in biological and medical studies. The challenge lies in their summary, complexity reduction, and interpretation. Correlation-based networks and graph-theory based properties of this type of networks can be successfully used during this process. However, the procedure has its pitfalls and requires specific knowledge that often lays beyond classical biology and includes many computational tools and software. Here we introduce one of a series of methods for correlation-based network generation and analysis using freely available software. The pipeline allows the user to control each step of the network generation and provides flexibility in selection of correlation methods and thresholds. The pipeline was implemented on published metabolomics data of a population of human breast carcinoma cell lines MDA-MB-231 under two conditions: normal and hypoxia. The analysis revealed significant differences between the metabolic networks in response to the tested conditions. The network under hypoxia had 1.7 times more significant correlations between metabolites, compared to normal conditions. Unique metabolic interactions were identified which could lead to the identification of improved markers or aid in elucidating the mechanism of regulation between distantly related metabolites induced by the cancer growth.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.