Identifying the Gene Signatures from Gene‐Pathway Bipartite Network Guarantees the Robust Model Performance on Predicting the Cancer Prognosis

L He, Y Wang, Y Yang, L Huang… - BioMed research …, 2014 - Wiley Online Library
For the purpose of improving the prediction of cancer prognosis in the clinical researches,
various algorithms have been developed to construct the predictive models with the gene …

Identifying the Gene Signatures from Gene-Pathway Bipartite Network Guarantees the Robust Model Performance on Predicting the Cancer Prognosis.

L He, Y Wang, Y Yang, L Huang… - BioMed Research …, 2014 - search.ebscohost.com
For the purpose of improving the prediction of cancer prognosis in the clinical researches,
various algorithms have been developed to construct the predictive models with the gene …

Identifying the gene signatures from gene-pathway bipartite network guarantees the robust model performance on predicting the cancer prognosis

L He, Y Wang, Y Yang, L Huang… - BioMed research …, 2014 - pubmed.ncbi.nlm.nih.gov
For the purpose of improving the prediction of cancer prognosis in the clinical researches,
various algorithms have been developed to construct the predictive models with the gene …

[HTML][HTML] Identifying the Gene Signatures from Gene-Pathway Bipartite Network Guarantees the Robust Model Performance on Predicting the Cancer Prognosis

L He, Y Wang, Y Yang, L Huang… - BioMed Research …, 2014 - ncbi.nlm.nih.gov
For the purpose of improving the prediction of cancer prognosis in the clinical researches,
various algorithms have been developed to construct the predictive models with the gene …

[PDF][PDF] Identifying the Gene Signatures from Gene-Pathway Bipartite Network Guarantees the Robust Model Performance on Predicting the Cancer Prognosis

L He, Y Wang, Y Yang, L Huang, Z Wen - 2014 - scienceopen.com
For the purpose of improving the prediction of cancer prognosis in the clinical researches,
various algorithms have been developed to construct the predictive models with the gene …

[HTML][HTML] Identifying the gene signatures from gene-pathway bipartite network guarantees the robust model performance on predicting the cancer prognosis.

L He, Y Wang, Y Yang, L Huang… - Biomed Research …, 2014 - europepmc.org
For the purpose of improving the prediction of cancer prognosis in the clinical researches,
various algorithms have been developed to construct the predictive models with the gene …

Identifying the Gene Signatures from Gene-Pathway Bipartite Network Guarantees the Robust Model Performance on Predicting the Cancer Prognosis

L He, Y Wang, Y Yang, L Huang… - BioMed Research …, 2014 - search.proquest.com
For the purpose of improving the prediction of cancer prognosis in the clinical researches,
various algorithms have been developed to construct the predictive models with the gene …

[PDF][PDF] Identifying the Gene Signatures from Gene-Pathway Bipartite Network Guarantees the Robust Model Performance on Predicting the Cancer Prognosis

L He, Y Wang, Y Yang, L Huang, Z Wen - 2014 - Citeseer
For the purpose of improving the prediction of cancer prognosis in the clinical researches,
various algorithms have been developed to construct the predictive models with the gene …

[PDF][PDF] Identifying the Gene Signatures from Gene-Pathway Bipartite Network Guarantees the Robust Model Performance on Predicting the Cancer Prognosis

L He, Y Wang, Y Yang, L Huang, Z Wen - 2014 - cyberleninka.org
For the purpose of improving the prediction of cancer prognosis in the clinical researches,
various algorithms have been developed to construct the predictive models with the gene …

[PDF][PDF] Identifying the Gene Signatures from Gene-Pathway Bipartite Network Guarantees the Robust Model Performance on Predicting the Cancer Prognosis

L He, Y Wang, Y Yang, L Huang, Z Wen - 2014 - researchgate.net
For the purpose of improving the prediction of cancer prognosis in the clinical researches,
various algorithms have been developed to construct the predictive models with the gene …