Enhancing Interpretability of Gene Signatures with Prior Biological Knowledge
نویسندگان
چکیده
منابع مشابه
Enhancing Interpretability of Gene Signatures with Prior Biological Knowledge
Biological interpretability is a key requirement for the output of microarray data analysis pipelines. The most used pipeline first identifies a gene signature from the acquired measurements and then uses gene enrichment analysis as a tool for functionally characterizing the obtained results. Recently Knowledge Driven Variable Selection (KDVS), an alternative approach which performs both steps ...
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Motivation Molecular signatures for diagnosis or prognosis estimated from large-scale gene expression data often lack robustness and stability, rendering their biological interpretation challenging. Increasing the signature’s interpretability and stability across perturbations of a given dataset and, if possible, across datasets, is urgently needed to ease the discovery of important biological ...
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Microarrays allow monitoring of thousands of genes over time periods. Recently, gene clustering approaches specially adapted to deal with the time dependences of these data have been proposed. According to these methods, we investigate here how to use prior knowledge about the approximate profile of some classes to improve the classification result. We propose a Bayesian approach to this proble...
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ژورنال
عنوان ژورنال: Microarrays
سال: 2016
ISSN: 2076-3905
DOI: 10.3390/microarrays5020015