Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background#R##N#Genomics-based predictors of drug response have the potential to improve outcomes associated with cancer therapy. Osteosarcoma (OS), the most common primary bone cancer in dogs, is commonly treated with adjuvant doxorubicin or carboplatin following amputation of the affected limb.  evaluated the use of gene-expression based models built in an intra- or interspecies manner to predict chemosensitivity and treatment outcome in canine OS. Models re built and evaluated using microarray gene expression and drug sensitivity data from human and canine cancer cell lines, and canine OS tumor datasets. The “COXEN” method was utilized to filter gene signatures beten human and dog datasets based on strong co-expression patterns. Models re built using linear discriminant analysis via the misclassification penalized posterior algorithm.
['Jared S. Fowles', 'Kristen C. Brown', 'Ann Hess', 'Dawn L. Duval', 'Daniel L. Gustafson']
I am writing a research paper on a idea Intra- and interspecies gene expression models for predicting drug response in canine osteosarcoma
[{"from": "human", "value": "I am writing a research paper on a idea Intra- and interspecies gene expression models for predicting drug response in canine osteosarcoma"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background#R##N#Genomics-based predictors of drug response have the potential to improve outcomes associated with cancer therapy. Osteosarcoma (OS), the most common primary bone cancer in dogs, is commonly treated with adjuvant doxorubicin or carboplatin following amputation of the affected limb.  evaluated the use of gene-expression based models built in an intra- or interspecies manner to predict chemosensitivity and treatment outcome in canine OS. Models re built and evaluated using microarray gene expression and drug sensitivity data from human and canine cancer cell lines, and canine OS tumor datasets. The \u201cCOXEN\u201d method was utilized to filter gene signatures beten human and dog datasets based on strong co-expression patterns. Models re built using linear discriminant analysis via the misclassification penalized posterior algorithm."}]