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MOESM2 of scPred: accurate supervised method for cell-type classification from single-cell RNA-seq data

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posted on 2019-12-12, 12:11 authored by Jose Alquicira-Hernandez, Anuja Sathe, Hanlee Ji, Quan Nguyen, Joseph Powell
Additional file 2: Table S1. Classification performance comparison between scPred and other prediction baseline methods. For all methods, results are reported using the same data set partitions across all bootstrap replicates. Table S2. Summary of pancreas datasets. Training dataset consisted of 4292 cells and 32 human samples in total. Table S3. Prediction results of pancreatic cells from Baron dataset. Table S5. Prediction performance of pancreatic cells from Baron et al. dataset using different prediction models described in Table S1. Table S12. Accuracy performance for all PBMC subtypes. Percentile 95% confidence intervals are shown for ten boostrap replicates. Table S13. Prediction of dendritic cells from Breton et al. dataset using different prediction models.

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