Additional file 8 of Differential expression analysis using a model-based gene clustering algorithm for RNA-seq data
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- Osabe, Takayuki
- Creator
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- Shimizu, Kentaro
- Creator
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- Kadota, Koji
- Creator
Metadata
- Published
- 2021-01-01
- DOI
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- 10.6084/m9.figshare.16841070
- 10.6084/m9.figshare.16841070.v1
- Publisher
- figshare
- Creator Name (e-Rad)
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- Osabe, Takayuki
- Shimizu, Kentaro
- Kadota, Koji
Description
Additional file 8. Concordance rate between methods for Pickrell data. This file provides additional information given in Table 4. The “Sheet1” shows the percentage of genes assigned to the same pattern that are common between the two methods. For example, DESeq2 and TCC have a total of 51,812 similar patterns, and the concordance rate is therefore calculated as 51,812/51,910 = 0.9981. The “Sheet2” shows the results for each cluster obtained using MBCdeg-based methods: (a–c) MBCdeg1 with K = 3–5 and (d–f) MBCdeg2 with K = 3–5. The number of genes (column B), centers m (columns C–E), L2 Norm (column F), and the patterns assigned (column G) for each cluster are shown.
