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Fig. 3 | BMC Bioinformatics

Fig. 3

From: Cellograph: a semi-supervised approach to analyzing multi-condition single-cell RNA-sequencing data using graph neural networks

Fig. 3

Cellograph defines genetic signatures of distinct drug responses in the drug holiday dataset. A PHATE embeddings of the learned latent space colored according to the treatment labels, clusters, and treatment probabilities (day 0 not shown). B Heatmap of top 25 weighted genes from learned parameterized gene weight matrix. C The distribution of treatment probabilities for Day 11 cells partitioned by treatment groups. D The distribution of gene expression between clusters 0, 5, 3, and 2 of select differentially expressed genes (INHBA, TUBA1B)

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BMC Bioinformatics

ISSN: 1471-2105

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