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Fig. 3 | BMC Bioinformatics

Fig. 3

From: scSensitiveGeneDefine: sensitive gene detection in single-cell RNA sequencing data by Shannon entropy

Fig. 3

Evaluation and function annotation of sensitive genes in various tissues. a The proportion of overlapping sensitive genes (the overlap in greater or equal to 50%, 75% and 100% of samples in a given data set) out of the total number of sensitive genes in all samples (by the union of sensitive genes in all samples in a given data set) for these data sets; b The most enriched KEGG signaling pathways (detected in more than half of the data sets) of sensitive genes, with color representing the percentage of samples in each data set with sensitive genes enriched in these signal pathways; c We classified these enriched signaling pathways into several main types, including infection, apoptosis, metabolism, ribosome, cellular stress response, immune response, inflammation, protein processing, cell adhesion and other signaling pathways. Most of the sensitive genes were enriched in signaling pathways related to stress response against environmental changes

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