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Journal of Translational Medicine|October 4, 2022
Artificial intelligence for quantifying immune infiltrates interacting with stroma in colorectal cancerJing Yang, Huifen Ye, Xinjuan Fan, et al.
Cancer Cell International|October 31, 2021
A deep learning quantified stroma-immune score to predict survival of patients with stage II-III colorectal cancerZeyan Xu, Yong Li, Yingyi Wang, et al.
The Journal of Pathology|December 19, 2014
Erbin interacts with c-Cbl and promotes tumourigenesis and tumour growth in colorectal cancer by preventing c-Cbl-mediated ubiquitination and down-regulation of EGFRSu Yao, Ping Zheng, Hua Wu, et al.
FEMS Microbiology Letters|July 5, 2021
The forgotten role of food culturesFrançois Bourdichon, Emmanuelle Arias, Andrzej Babuchowski, et al.
Imeta|June 13, 2024
Single-cell rapid identification, in situ viability and vitality profiling, and genome-based source-tracking for probiotics productsJia Zhang, Lihui Ren, Lei Zhang, et al.
European Radiology|October 16, 2021
Development and validation of a preoperative CT-based radiomic nomogram to predict pathology invasiveness in patients with a solitary pulmonary nodule: a machine learning approach, multicenter, diagnostic studyLuyu Huang, Weihuan Lin, Daipeng Xie, et al.
Medical Image Analysis|February 17, 2026
A hypergraph-based model for tumor prognosis using local and global information fusion on H&E-stained histology imagesChao Tang, Jun Liu, Yanfen Cui, et al.
Gigascience|May 3, 2018
The global catalogue of microorganisms 10K type strain sequencing project: closing the genomic gaps for the validly published prokaryotic and fungi speciesLinhuan Wu, Kevin McCluskey, Philippe Desmeth, et al.
Nucleic Acids Research|October 29, 2020
gcType: a high-quality type strain genome database for microbial phylogenetic and functional researchWenyu Shi, Qinglan Sun, Guomei Fan, et al.
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