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. Author manuscript; available in PMC: 2019 Mar 14.
Published in final edited form as: Pac Symp Biocomput. 2019;24:374–385.

Fig 2. Logistic Regression Test Data Accuracy.

Fig 2.

Each row represents a trial with the specific cell types shown in the first column. Additional columns indicate the data type used for training for cell type prediction (i.e. gene-level RNA-Seq data or gene set scores from one of eight algorithms). Values are the classification accuracy of cell types on test data. Yellow emphasizes the highest test accuracy in each row. Scaled RNASeq (Min-max scaled gene TPM values from [15]). Raw RNA-Seq (gene TPM values from [15]). See Methods for the full names of gene set projection algorithms.