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Fig. 4 | BMC Bioinformatics

Fig. 4

From: A machine learning-based gene signature of response to the novel alkylating agent LP-184 distinguishes its potential tumor indications

Fig. 4

Classifying cancer cell lines into predicted LP-184 sensitivity groups based on gene expression levels. a This panel of box plots shows the differential expression of each of the top 20 correlated genes (10 positively correlated and 10 negatively correlated) with actual known LP-184 sensitivity in NCI-60 training data across the top 25 predicted sensitive and top 25 predicted resistant cell lines in the CCLE testing data. b This panel of box plots shows the differential expression of each of the 16 signature genes of LP-184 response across the top 25 predicted sensitive and top 25 predicted resistant cell lines in the CCLE testing data

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BMC Bioinformatics

ISSN: 1471-2105

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