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Quanlin Guan
Lanzhou University - The First Clinical Medical School
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SCHOLARLY PAPERS
2
DOWNLOADS
65
TOTAL CITATIONS
6
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Scholarly Papers (2)
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1.
Nomogram, Decision Tree and Deep Learning Models to Predict Lymph Node Metastasis of Patients with Early Gastric Cancer: A Multi-Cohort Study
Number of pages: 23
Posted: 08 Aug 2022
Lulu Zhao
,
Weili Han
,
Penghui Niu
,
Yuanyuan Lu
,
Fan Zhang
,
Fuzhi Jiao
,
Xiadong Zhou
,
Wanqing Wang
,
Xiaoyi Luan
,
Mingyan He
, Quanlin Guan,
Yu-min Li
,
Yongzhan Nie
,
Kaichun Wu
and
Yingtai Chen
Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - Department of Pancreatic and Gastric Surgical Oncology, Government of the People's Republic of China - State Key Laboratory of Cancer Biology, Chinese Academy of Medical Sciences - National Cancer Center, Government of the People's Republic of China - State Key Laboratory of Cancer Biology, Lanzhou University - Second Hospital, Lanzhou University - First Hospital, Gansu Provincial Cancer Hospital, Chinese Academy of Medical Sciences - National Cancer Center, Chinese Academy of Medical Sciences - National Cancer Center, Gansu Provincial Cancer Hospital, Lanzhou University - The First Clinical Medical School, Lanzhou University - Key Laboratory of Digestive System Tumors of Gansu Province, Government of the People's Republic of China - State Key Laboratory of Cancer Biology, Government of the People's Republic of China - State Key Laboratory of Cancer Biology and Chinese Academy of Medical Sciences - National Cancer Center
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36
(992,088)
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6
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Abstract:
2.
Bioinformatics-Based Identification of B7-H Family Genes and Related Clinicopathological Parameters in Colorectal Cancer
Number of pages: 22
Posted: 29 Jun 2022
Rui Chen
,
Chen Chai
,
Shoucheng Ma
, Quanlin Guan and
Dongjin Wu
Lanzhou University - The First Clinical Medical School, People's Hospital of Suzhou New District, Lanzhou University - First Hospital, Lanzhou University - The First Clinical Medical School and People's Hospital of Suzhou New District
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29
(1,068,168)
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Abstract:
bioinformatics analysis, biomarker, colorectal cancer, prognosis
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