Prati
Xiangchun Li (李祥春)
Xiangchun Li (李祥春)
Tianjin Medical University Cancer Institute and Hospital
Potvrđena adresa e-pošte na tmu.edu.cn - Početna stranica
Naslov
Citirano
Citirano
Godina
Identification of genomic alterations in oesophageal squamous cell cancer
Y Song, L Li, Y Ou, Z Gao, E Li, X Li, W Zhang, J Wang, L Xu, Y Zhou, ...
Nature 509 (7498), 91-95, 2014
11682014
Gut mucosal microbiome across stages of colorectal carcinogenesis
G Nakatsu, X Li, H Zhou, J Sheng, SH Wong, WKK Wu, SC Ng, H Tsoi, ...
Nature communications 6 (1), 8727, 2015
6992015
Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study
X Li, S Zhang, Q Zhang, X Wei, Y Pan, J Zhao, X Xin, C Qin, X Wang, J Li, ...
The Lancet Oncology 20 (2), 193-201, 2019
4212019
Emerging role of deep learning‐based artificial intelligence in tumor pathology
Y Jiang, M Yang, S Wang, X Li, Y Sun
Cancer communications 40 (4), 154-166, 2020
3632020
Novel recurrently mutated genes and a prognostic mutation signature in colorectal cancer
J Yu, WKK Wu, X Li, J He, XX Li, SSM Ng, C Yu, Z Gao, J Yang, M Li, ...
Gut 64 (4), 636-645, 2015
3122015
Activating hotspot L205R mutation in PRKACA and adrenal Cushing’s syndrome
Y Cao, M He, Z Gao, Y Peng, Y Li, L Li, W Zhou, X Li, X Zhong, Y Lei, T Su, ...
Science 344 (6186), 913-917, 2014
2412014
Association of MUC16 mutation with tumor mutation load and outcomes in patients with gastric cancer
X Li, B Pasche, W Zhang, K Chen
JAMA oncology 4 (12), 1691-1698, 2018
2042018
Mutational landscape of gastric adenocarcinoma in Chinese: implications for prognosis and therapy
K Chen, D Yang, X Li, B Sun, F Song, W Cao, DJ Brat, Z Gao, H Li, ...
Proceedings of the National Academy of Sciences 112 (4), 1107-1112, 2015
1792015
Distinct subtypes of gastric cancer defined by molecular characterization include novel mutational signatures with prognostic capability
X Li, WKK Wu, R Xing, SH Wong, Y Liu, X Fang, Y Zhang, M Wang, ...
Cancer research 76 (7), 1724-1732, 2016
1272016
Diagnostic evaluation of a deep learning model for optical diagnosis of colorectal cancer
D Zhou, F Tian, X Tian, L Sun, X Huang, F Zhao, N Zhou, Z Chen, ...
Nature communications 11 (1), 2961, 2020
1132020
Genomic analysis of liver cancer unveils novel driver genes and distinct prognostic features
X Li, W Xu, W Kang, SH Wong, M Wang, Y Zhou, X Fang, X Zhang, ...
Theranostics 8 (6), 1740, 2018
982018
A mutational signature associated with alcohol consumption and prognostically significantly mutated driver genes in esophageal squamous cell carcinoma
XC Li, MY Wang, M Yang, HJ Dai, BF Zhang, W Wang, XL Chu, X Wang, ...
Annals of Oncology 29 (4), 938-944, 2018
942018
Development of an AI system for accurately diagnose hepatocellular carcinoma from computed tomography imaging data
M Wang, F Fu, B Zheng, Y Bai, Q Wu, J Wu, L Sun, Q Liu, M Liu, Y Yang, ...
British Journal of Cancer 125 (8), 1111-1121, 2021
472021
The new identified biomarkers determine sensitivity to immune check-point blockade therapies in melanoma
H Chen, M Yang, Q Wang, F Song, X Li, K Chen
Oncoimmunology, 2019
452019
Prediction of tumor origin in cancers of unknown primary origin with cytology-based deep learning
F Tian, D Liu, N Wei, Q Fu, L Sun, W Liu, X Sui, K Tian, G Nemeth, J Feng, ...
Nature Medicine, 1-11, 2024
302024
Deep learning to diagnose Hashimoto’s thyroiditis from sonographic images
Q Zhang, S Zhang, Y Pan, L Sun, J Li, Y Qiao, J Zhao, X Wang, Y Feng, ...
Nature Communications 13 (1), 3759, 2022
302022
RNA profiling of blood platelets noninvasively differentiates colorectal cancer from healthy donors and noncancerous intestinal diseases: a retrospective cohort study
L Xu, X Li, X Li, X Wang, Q Ma, D She, X Lu, J Zhang, Q Yang, S Lei, ...
Genome Medicine 14 (1), 26, 2022
262022
Generative pretraining from large-scale transcriptomes for single-cell deciphering
H Shen, J Liu, J Hu, X Shen, C Zhang, D Wu, M Feng, M Yang, Y Li, ...
Iscience 26 (5), 2023
252023
Oncogenes without a neighboring tumor-suppressor gene are more prone to amplification
WKK Wu, X Li, X Wang, RZW Dai, ASL Cheng, MHT Wang, T Kwong, ...
Molecular Biology and Evolution 34 (4), 903-907, 2017
122017
Miscell: An efficient self-supervised learning approach for dissecting single-cell transcriptome
H Shen, Y Li, M Feng, X Shen, D Wu, C Zhang, Y Yang, M Yang, J Hu, ...
Iscience 24 (11), 2021
92021
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