NEPAL is to calculate neuroendocrine (NE) risk score from bulk and single-cell transcriptomics of both human and mouse prostate cancer (PCa). NEPAL has multiple built-in algorithms and NE gene sets. NEPC risk score may be used to stratify prognosis of PCa. For R package installation instructions, please refer to https://github.com/Famingzhao/NEPAL. In this repository, we provide essential scripts from our study for sequencing data alignment, integration, and processing.

Graphical Abstract：

Integrated analysis of single-cell and bulk transcriptomics develops a robust neuroendocrine cell-intrinsic signature to predict prostate cancer progression

Tingting Zhang#, Faming Zhao#※, Yahang Lin, Mingsheng Liu, Hongqing Zhou, Fengzhen Cui, Yang Jin, Liang Chen, Xia Sheng※

Zhang T, Zhao F, Lin Y, Liu M, Zhou H, Cui F, Jin Y, Chen L, Sheng X. Integrated analysis of single-cell and bulk transcriptomics develops a robust neuroendocrine cell-intrinsic signature to predict prostate cancer progression. Theranostics 2024; 14(3):1065-1080. doi:10.7150/thno.92336. https://www.thno.org/v14p1065.htm

Xia Sheng, PhD, [email protected]

Key Laboratory of Environmental Health, Ministry of Education & Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Any technical question please contact Faming Zhao ([email protected]).

copyright, ShengLab@HUST