Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Motivation: One of the mutational processes that has been monitored genome-wide is the occurrence of regional DNA copy number alterations (CNAs), which may lead to deletion or over-expression of tumor suppressors or oncogenes, respectively. Understanding the relationship beten CNAs and different cancer types is a fundamental problem in cancer studies.#R##N##R##N#Results: This article develops an efficient method that can accurately model the progression of the cancer markers and reconstruct evolutionary relationship beten multiple types of cancers using comparative genomic hybridization (CGH) data. Such modeling can lead to better understanding of the commonalities and differences beten multiple cancer types and potential therapies.  have developed an automatic method to infer a graph model for the markers of multiple cancers from a large population of CGH data. Our method identifies highly related markers across different cancer types. It then builds a directed acyclic graph that shows the evolutionary history of these markers based on how common each marker is in different cancer types.  demonstrated the use of this model in determining the importance of markers in cancer evolution.  have also developed a new method to measure the evolutionary distance beten different cancers based on their markers. This method employs the graph model  developed for the individual markers to measure the distance beten pairs of cancers.  used this measure to create an evolutionary tree for multiple cancers. Our experiments on Progenetix database show that our markers are largely consistent to the reported hot-spot imbalances and most frequent imbalances. The results show that our distance measure can accurately reconstruct the evolutionary relationship beten multiple cancer types.#R##N##R##N#Availability: All the code developed in this article are available at http://bioinformatics.cise.ufl.edu/phylogeny.html.#R##N##R##N#Contact:nirmalya@cise.ufl.edu; tamer@cise.ufl.edu#R##N##R##N#Supplementary information:Supplementary data are available at Bioinformatics online.
['Jun Liu', 'Nirmalya Bandyopadhyay', 'Sanjay Ranka', 'Michael Baudis', 'Tamer Kahveci']
I am writing a research paper on a idea Inferring progression models for CGH data
[{"from": "human", "value": "I am writing a research paper on a idea Inferring progression models for CGH data"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Motivation: One of the mutational processes that has been monitored genome-wide is the occurrence of regional DNA copy number alterations (CNAs), which may lead to deletion or over-expression of tumor suppressors or oncogenes, respectively. Understanding the relationship beten CNAs and different cancer types is a fundamental problem in cancer studies.#R##N##R##N#Results: This article develops an efficient method that can accurately model the progression of the cancer markers and reconstruct evolutionary relationship beten multiple types of cancers using comparative genomic hybridization (CGH) data. Such modeling can lead to better understanding of the commonalities and differences beten multiple cancer types and potential therapies.  have developed an automatic method to infer a graph model for the markers of multiple cancers from a large population of CGH data. Our method identifies highly related markers across different cancer types. It then builds a directed acyclic graph that shows the evolutionary history of these markers based on how common each marker is in different cancer types.  demonstrated the use of this model in determining the importance of markers in cancer evolution.  have also developed a new method to measure the evolutionary distance beten different cancers based on their markers. This method employs the graph model  developed for the individual markers to measure the distance beten pairs of cancers.  used this measure to create an evolutionary tree for multiple cancers. Our experiments on Progenetix database show that our markers are largely consistent to the reported hot-spot imbalances and most frequent imbalances. The results show that our distance measure can accurately reconstruct the evolutionary relationship beten multiple cancer types.#R##N##R##N#Availability: All the code developed in this article are available at http://bioinformatics.cise.ufl.edu/phylogeny.html.#R##N##R##N#Contact:nirmalya@cise.ufl.edu; tamer@cise.ufl.edu#R##N##R##N#Supplementary information:Supplementary data are available at Bioinformatics online."}]