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Peng Luo
Publications
- 2023
- [j78]Shuyu Li, Nan Zhang, Hao Zhang, Ran Zhou, Zirui Li, Xue Yang, Wantao Wu, Hanning Li, Peng Luo, Zeyu Wang, Ziyu Dai, Xisong Liang, Jie Wen, Xun Zhang, Bo Zhang, Quan Cheng, Qi Zhang, Zhifang Yang:
Artificial intelligence learning landscape of triple-negative breast cancer uncovers new opportunities for enhancing outcomes and immunotherapy responses. J. Big Data 10(1): 132 (2023) - [j77]Zaoqu Liu, Long Liu, Siyuan Weng, Hui Xu, Zhe Xing, Yuqing Ren, Xiaoyong Ge, Libo Wang, Chunguang Guo, Lifeng Li, Quan Cheng, Peng Luo, Jian Zhang, Xinwei Han:
BEST: a web application for comprehensive biomarker exploration on large-scale data in solid tumors. J. Big Data 10(1): 165 (2023) - [i12]Jinghong Chen, Lingxuan Zhu, Weiming Mou, Zaoqu Liu, Quan Cheng, Anqi Lin, Jian Zhang, Peng Luo:
STAGER checklist: Standardized Testing and Assessment Guidelines for Evaluating Generative AI Reliability. CoRR abs/2312.10074 (2023) - 2022
- [j67]Anqi Lin, Chang Qi, Ting Wei, Mengyao Li, Quan Cheng, Zaoqu Liu, Peng Luo, Jian Zhang:
CAMOIP: a web server for comprehensive analysis on multi-omics of immunotherapy in pan-cancer. Briefings Bioinform. 23(3) (2022) - [j66]Hao Zhang, Nan Zhang, Wantao Wu, Ran Zhou, Shuyu Li, Zeyu Wang, Ziyu Dai, Liyang Zhang, Zaoqu Liu, Jian Zhang, Peng Luo, Zhixiong Liu, Quan Cheng:
Machine learning-based tumor-infiltrating immune cell-associated lncRNAs for predicting prognosis and immunotherapy response in patients with glioblastoma. Briefings Bioinform. 23(6) (2022)
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