Machine learning algorithm integrates bulk and single-cell transcriptome sequencing to reveal immune-related personalized therapy prediction features for pancreatic cancer

Longjun Zang; Baoming Zhang; Yanling Zhou; Fusheng Zhang; Xiaodong Tian; Zhongming Tian; Dongjie Chen; Qingwang Miao

doi:doi:10.18632/aging.205293

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Research Paper Volume 15, Issue 23 pp 14109—14140

Machine learning algorithm integrates bulk and single-cell transcriptome sequencing to reveal immune-related personalized therapy prediction features for pancreatic cancer

Figure 7. Identification of IRS-related biological processes and drug targets. (A) Pathifier analysis showing the IRS-related biological processes. (B) Top 4 pathways were validated in GSEA analysis. Potential drug targets were screened out form CTRP (C) and PRISM (D) datasets. (E) The corresponding relationship between drug targets and potential targeted drugs.