We report a large-scale analysis of spatial, ie 3D, gene-expression data from an entire organ (the mouse brain) for the purpose of evaluating and ranking ...
Candidate gene prioritization based on spatially mapped gene expression
pubmed.ncbi.nlm.nih.gov › ...
We report a large-scale analysis of spatial, ie 3D, gene-expression data from an entire organ (the mouse brain) for the purpose of evaluating and ranking ...
We apply our method to the case of X-linked mental retardation, compare the predictions to the results obtained from a previous large-scale resequencing study ...
XLMR was considered as phenotype with unknown molecular basis; known XLMR genes were considered as candidates and only genes known to be involved in similar ...
We apply our method to the case of X-linked mental retardation, compare the predictions to the results obtained from a previous large-scale resequencing study ...
Candidate gene prioritization based on spatially mapped gene expression: an application to XLMR. Rosario M. Piro, Ivan Molineris, Ugo Ala, Paolo Provero ...
We apply our method to the case of X-linked mental retardation, compare the predictions to the results obtained from a previous large-scale resequencing study ...
Jun 13, 2011 · ... Candidate gene prioritization based on spatially mapped gene expression: an application to XLMR. Bioinformatics. 2010, Oxford, England, 26 ...
Dec 14, 2012 · (2010) Candidate gene prioritization based on spatially mapped gene expression: an application to XLMR. Bioinformatics, 26, i618–i624. Piro ...
Candidate gene prioritization based on spatially mapped gene expression: an application to XLMR. Bioinformatics, 26 (2010), pp. i618-i624. CrossRef View in ...