Figure 4 from manuscript Sparsely-Connected Autoencoder (SCA) for single cell RNAseq data mining
收藏DataCite Commons2020-08-26 更新2024-07-28 收录
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https://figshare.com/articles/dataset/Figure_4_from_manuscript_Sparsely-Connected_Autoencoder_SCA_for_single_cell_RNAseq_data_mining/12866717
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资源简介：
Dataset used to generate figure 4: QCM/QCC plots using different normalizations for the SCA input counts table. A) Log10 transformed (figure4/setA/Results/setAMIRNA_SIMLR/5/setA_StabilitySignificativityJittered.pdf), B) Centred log-ratio normalization (CLR) (figure4/setA/Results/CLR_FNMIRNA_SIMLR/5/normalized_CLR_FN_StabilitySignificativityJittered.pdf), C) relative log-expression (RLE) (figure4/setA/Results/DESEQ_FNMIRNA_SIMLR/5/normalized_DESEQ_FN_StabilitySignificativityJittered.pdf), D) full-quantile normalization (FQ) (figure4/setA/Results/FQ_FNMIRNA_SIMLR/5/normalized_FQ_FN_StabilitySignificativityJittered.pdf), E) sum scaling normalization (SUM) (/figure4/setA/Results/SUM_FNMIRNA_SIMLR/5/normalized_SUM_FN_StabilitySignificativityJittered.pdf), F) weighted trimmed mean of M-values (TMM) (figure4/setA/Results/TMM_FNMIRNA_SIMLR/5/normalized_TMM_FN_StabilitySignificativityJittered.pdf).<br>
提供机构：
figshare
创建时间：
2020-08-26
