Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Motivation: Many applications of microarray technology in clinical cancer studies aim at detecting molecular features for refined diagnosis. ,  follow an opposite rationale:  try to identify common molecular features shared by phenotypically distinct types of cancer using a meta-analysis of several microarray studies.  present a novel algorithm to uncover that two lists of differentially expressed genes are similar, even if these similarities are not apparent to the eye. The method is based on the ordering in the lists. Results: In a meta-analysis of five clinical microarray studies  re able to detect significant similarities in five of the ten possible comparisons of ordered gene lists.  included studies, where not a single gene can be significantly associated to outcome. The detection of significant similarities of gene lists from different microarray studies is a novel and promising approach. It has the potential to improve upon specialized cancer studies by exploring the por of several studies in one single analysis. Our method is complementary to previous methods in that it does not rely on strong effects of differential gene expression in a single study but on consistent ones across multiple studies.
['Xinan Yang', 'Stefan Bentink', 'Stefanie Scheid', 'Rainer Spang']
I am writing a research paper on a idea Similarities of ordered gene lists
[{"from": "human", "value": "I am writing a research paper on a idea Similarities of ordered gene lists"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Motivation: Many applications of microarray technology in clinical cancer studies aim at detecting molecular features for refined diagnosis. ,  follow an opposite rationale:  try to identify common molecular features shared by phenotypically distinct types of cancer using a meta-analysis of several microarray studies.  present a novel algorithm to uncover that two lists of differentially expressed genes are similar, even if these similarities are not apparent to the eye. The method is based on the ordering in the lists. Results: In a meta-analysis of five clinical microarray studies  re able to detect significant similarities in five of the ten possible comparisons of ordered gene lists.  included studies, where not a single gene can be significantly associated to outcome. The detection of significant similarities of gene lists from different microarray studies is a novel and promising approach. It has the potential to improve upon specialized cancer studies by exploring the por of several studies in one single analysis. Our method is complementary to previous methods in that it does not rely on strong effects of differential gene expression in a single study but on consistent ones across multiple studies."}]