%0 Generic %A Senthil Kumar, M. %A Slud, Eric V. %A Okrah, Kwame %A Hicks, Stephanie C. %A Hannenhalli, Sridhar %A Corrada Bravo, HĂŠctor %D 2018 %T Additional file 2 of Analysis and correction of compositional bias in sparse sequencing count data %U https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Analysis_and_correction_of_compositional_bias_in_sparse_sequencing_count_data/7305344 %R 10.6084/m9.figshare.7305344.v1 %2 https://springernature.figshare.com/ndownloader/files/13495085 %K Compositional bias %K Normalization %K Empirical Bayes %K Data integration %K Count data %K Metagenomics %K Absolute abundance %K scRNAseq %K Spike-in %X Enrichment Analysis Results. The results of enrichment analyses based on faprotax annotations and Kegg modules procedure described in the Methods section is presented. Names in the sheets and their descriptions are as follows: KM.POS.SIG.MES and KM.POS.SIG.DCM show the Kegg module based enrichment analyses for positively associated features in MES and DCM layers respectively. FAPRO.POS.SIG.MES and FAPRO.POS.SIG.DCM show the results of faprotax annotations based enrichment analyses for positively associated features in MES and DCM layers respectively. (XLSX 45 kb) %I figshare