Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background: Publicly available datasets of microarray gene expression signals represent an unprecedented opportunity for extracting genomic relevant information and validating biological hypotheses. Hover, the exploitation of this exceptionally rich mine of information is still hampered by the lack of appropriate computational tools, able to overcome the critical issues raised by meta-analysis. Results: This work presents A-MADMAN, an open source b application which allows the retrieval, annotation, organization and meta-analysis of gene expression datasets obtained from Gene Expression Omnibus. A-MADMAN addresses and resolves several open issues in the metaanalysis of gene expression data. Conclusion: A-MADMAN allows i) the batch retrieval from Gene Expression Omnibus and the local organization of raw data files and of any related meta-information, ii) the re-annotation of samples to fix incomplete, or otherwise inadequate, metadata and to create user-defined batches of data, iii) the integrative analysis of data obtained from different Affymetrix platforms through custom chip definition files and meta-normalization. Software and documentation are available online at http://compgen.bio.unipd.it/bioinfo/amadman/.
['Andrea Bisognin', 'Alessandro Coppe', 'Francesco Ferrari', 'Davide Risso', 'Chiara Romualdi', 'Silvio Bicciato', 'Stefania Bortoluzzi']
I am writing a research paper on a idea A-MADMAN: Annotation-based microarray data meta-analysis tool
[{"from": "human", "value": "I am writing a research paper on a idea A-MADMAN: Annotation-based microarray data meta-analysis tool"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background: Publicly available datasets of microarray gene expression signals represent an unprecedented opportunity for extracting genomic relevant information and validating biological hypotheses. Hover, the exploitation of this exceptionally rich mine of information is still hampered by the lack of appropriate computational tools, able to overcome the critical issues raised by meta-analysis. Results: This work presents A-MADMAN, an open source b application which allows the retrieval, annotation, organization and meta-analysis of gene expression datasets obtained from Gene Expression Omnibus. A-MADMAN addresses and resolves several open issues in the metaanalysis of gene expression data. Conclusion: A-MADMAN allows i) the batch retrieval from Gene Expression Omnibus and the local organization of raw data files and of any related meta-information, ii) the re-annotation of samples to fix incomplete, or otherwise inadequate, metadata and to create user-defined batches of data, iii) the integrative analysis of data obtained from different Affymetrix platforms through custom chip definition files and meta-normalization. Software and documentation are available online at http://compgen.bio.unipd.it/bioinfo/amadman/."}]