Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Motivation: Diagnosis and prognosis of cancer and understanding oncogenesis within the context of biological pathways is one of the most important research areas in bioinformatics. Recently, there have been several attempts to integrate interactome and transcriptome data to identify subnetworks that provide limited interpretations of known and candidate cancer genes, as ll as increase classification accuracy. Hover, these studies provide little information about the detailed roles of identified cancer genes.#R##N##R##N#Results: To provide more information to the network,  constructed the network by incorporating genetic interactions and manually curated gene regulations to the protein interaction network. To make our newly constructed network cancer specific,  identified edges where two genes show different expression patterns beten cancer and normal phenotypes.  shod that the integration of various datasets increased classification accuracy, which suggests that our network is more complete than a network based solely on protein interactions.  also shod that our network contains significantly more known cancer-related genes than other feature selection algorithms. Through observations of some examples of cancer-specific subnetworks,  re able to predict more detailed and interpretable roles of oncogenes and other cancer candidate genes in the prostate cancer cells.#R##N##R##N#Availability: http://embio.yonsei.ac.kr/~Ahn/tc.php.#R##N##R##N#Contact: sanghyun@cs.yonsei.ac.kr#R##N##R##N#Supplementary information:Supplementary data are available at Bioinformatics online.
['Jaegyoon Ahn', 'Youngmi Yoon', 'Chihyun Park', 'Eunji Shin', 'Sanghyun Park']
I am writing a research paper on a idea Integrative gene network construction for predicting a set of complementary prostate cancer genes
[{"from": "human", "value": "I am writing a research paper on a idea Integrative gene network construction for predicting a set of complementary prostate cancer genes"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Motivation: Diagnosis and prognosis of cancer and understanding oncogenesis within the context of biological pathways is one of the most important research areas in bioinformatics. Recently, there have been several attempts to integrate interactome and transcriptome data to identify subnetworks that provide limited interpretations of known and candidate cancer genes, as ll as increase classification accuracy. Hover, these studies provide little information about the detailed roles of identified cancer genes.#R##N##R##N#Results: To provide more information to the network,  constructed the network by incorporating genetic interactions and manually curated gene regulations to the protein interaction network. To make our newly constructed network cancer specific,  identified edges where two genes show different expression patterns beten cancer and normal phenotypes.  shod that the integration of various datasets increased classification accuracy, which suggests that our network is more complete than a network based solely on protein interactions.  also shod that our network contains significantly more known cancer-related genes than other feature selection algorithms. Through observations of some examples of cancer-specific subnetworks,  re able to predict more detailed and interpretable roles of oncogenes and other cancer candidate genes in the prostate cancer cells.#R##N##R##N#Availability: http://embio.yonsei.ac.kr/~Ahn/tc.php.#R##N##R##N#Contact: sanghyun@cs.yonsei.ac.kr#R##N##R##N#Supplementary information:Supplementary data are available at Bioinformatics online."}]