Revealing pathway cross-talk related to diabetes mellitus by Monte Carlo Cross-Validation analysis
Objective: To explore potential functional biomarkers in diabetes mellitus (DM) by utilizing gene pathway cross-talk. Methods: Firstly, potential disrupted pathways that were enriched by differentially expressed genes (DEGs) were identified based on biological pathways downloaded from the Ingenuity Pathways Analysis (IPA) database. In addition, we quantified the pathway crosstalk for each pair of pathways based on Discriminating Score (DS). Random forest (RF) classification was then employed to find the top 10 pairs of pathways with a high area under the curve (AUC) value between DM samples versus normal samples based on 10-fold cross-validation. Finally, a Monte Carlo Cross-Validation was applied to demonstrate the identified pairs of pathways by a mutual information analysis. Results: A total of 247 DEGs in normal and disease samples were identified. Based on the F-test, 50 disrupted pathways were obtained with false discovery rate (FDR) < 0.01. Simultaneously, after calculating the DS, the top 10 pairs of pathways were selected based on a higher AUC value as measured by RF classification. From the Monte Carlo Cross-Validation, we considered the top 10 pairs of pathways with higher AUC values ranked for all 50 bootstraps as the most frequently detected ones. Conclusion: The pairs of pathways identified in our study might be key regulators in DM.
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Revealing pathway cross-talk related to diabetes mellitus by Monte Carlo Cross-Validation analysis ; volume:12 ; number:1 ; year:2017 ; pages:473-480 ; extent:8
Open life sciences ; 12, Heft 1 (2017), 473-480 (gesamt 8)
- Creator
-
Cai, Han-Qing
Lv, Shi-Hong
Shi, Chun-Jing
- DOI
-
10.1515/biol-2017-0056
- URN
-
urn:nbn:de:101:1-2409201650064.380115368387
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:35 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Cai, Han-Qing
- Lv, Shi-Hong
- Shi, Chun-Jing
Other Objects (12)
Possibly nonstationary cross-validation
Cross-validation is dead. Long live cross-validation! Model validation based on resampling
On robust cross-validation for nonparametric smoothing
On the way of revealing coactivator complexes cross-talk during transcriptional activation
Efficient cross-validation traversals in feature subset selection
Does cross-validation work in telling rankings apart?
Cross-validation of correlation networks using modular structure
Cross-validation model averaging for generalized functional linear model
Cross-validation to select Bayesian hierarchical models in phylogenetics
Cross-validation of bias-corrected climate simulations is misleading
PPP-RTK considering the ionosphere uncertainty with cross-validation
Model selection by cross-validation in multi-environment trials
Possibly nonstationary cross-validation
Cross-validation is dead. Long live cross-validation! Model validation based on resampling
On robust cross-validation for nonparametric smoothing
On the way of revealing coactivator complexes cross-talk during transcriptional activation
Efficient cross-validation traversals in feature subset selection
Does cross-validation work in telling rankings apart?
Cross-validation of correlation networks using modular structure
Cross-validation model averaging for generalized functional linear model
Cross-validation to select Bayesian hierarchical models in phylogenetics
Cross-validation of bias-corrected climate simulations is misleading
PPP-RTK considering the ionosphere uncertainty with cross-validation
Model selection by cross-validation in multi-environment trials
Possibly nonstationary cross-validation
Cross-validation is dead. Long live cross-validation! Model validation based on resampling
On robust cross-validation for nonparametric smoothing
On the way of revealing coactivator complexes cross-talk during transcriptional activation
Efficient cross-validation traversals in feature subset selection
Does cross-validation work in telling rankings apart?
Cross-validation of correlation networks using modular structure
Cross-validation model averaging for generalized functional linear model
Cross-validation to select Bayesian hierarchical models in phylogenetics
Cross-validation of bias-corrected climate simulations is misleading
PPP-RTK considering the ionosphere uncertainty with cross-validation