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Journal of Proteomics
|
December 17, 2013
Up-regulation of type I collagen during tumorigenesis of colorectal cancer revealed by quantitative proteomic analysis
Xia Zou, Bo Feng, Taotao Dong, et al.
Carcinogenesis
|
November 23, 2013
miR-320a suppresses colorectal cancer progression by targeting Rac1
Hongchao Zhao, Taotao Dong, Houmin Zhou, et al.
BMC Bioinformatics
|
April 13, 2023
Development and validation of a deep learning survival model for cervical adenocarcinoma patients
Ruowen Li, Wenjie Qu, Qingqing Liu, et al.
Computational and Mathematical Methods in Medicine
|
December 6, 2022
Development of a Novel Deep Learning-Based Prediction Model for the Prognosis of Operable Cervical Cancer
Taotao Dong, Linlin Wang, Ruowen Li, et al.
Frontiers in Oncology
|
August 28, 2020
Prognostic Assessment of Cervical Cancer Patients by Clinical Staging and Surgical-Pathological Factor: A Support Vector Machine-Based Approach
Lin Xie, Ran Chu, Kai Wang, et al.
Combinatorial Chemistry & High Throughput Screening
|
February 28, 2023
Apatinib Inhibits Bladder Cancer through Suppression of the VEGFR2- PI3K-AKT Signaling Pathway as Revealed by Network Pharmacology and <i>in vitro</i> Experimental Verification
Weiwei Wang, Lin Chen, Jin Yang, et al.
Journal of Proteome Research
|
December 14, 2011
Distinct urinary metabolic profile of human colorectal cancer
Yu Cheng, Guoxiang Xie, Tianlu Chen, et al.
Journal of Proteome Research
|
May 17, 2013
Metabonomics identifies serum metabolite markers of colorectal cancer
Binbin Tan, Yunping Qiu, Xia Zou, et al.
The American Journal of Pathology
|
February 21, 2024
A Histopathologic Image Analysis for the Classification of Endocervical Adenocarcinoma Silva Patterns Depend on Weakly Supervised Deep Learning
Qingqing Liu, Xiaofang Zhang, Xuji Jiang, et al.
Cancer Medicine
|
August 10, 2023
Identification of lymph node metastasis in pre-operation cervical cancer patients by weakly supervised deep learning from histopathological whole-slide biopsy images
Qingqing Liu, Nan Jiang, Yiping Hao, et al.
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of 5
Search research articles
Search
Showing results (31-40 of 41) with videos related to
Sort By:
Page
of 5
Journal of Proteomics
|
December 17, 2013
Up-regulation of type I collagen during tumorigenesis of colorectal cancer revealed by quantitative proteomic analysis
Xia Zou, Bo Feng, Taotao Dong, et al.
Carcinogenesis
|
November 23, 2013
miR-320a suppresses colorectal cancer progression by targeting Rac1
Hongchao Zhao, Taotao Dong, Houmin Zhou, et al.
BMC Bioinformatics
|
April 13, 2023
Development and validation of a deep learning survival model for cervical adenocarcinoma patients
Ruowen Li, Wenjie Qu, Qingqing Liu, et al.
Computational and Mathematical Methods in Medicine
|
December 6, 2022
Development of a Novel Deep Learning-Based Prediction Model for the Prognosis of Operable Cervical Cancer
Taotao Dong, Linlin Wang, Ruowen Li, et al.
Frontiers in Oncology
|
August 28, 2020
Prognostic Assessment of Cervical Cancer Patients by Clinical Staging and Surgical-Pathological Factor: A Support Vector Machine-Based Approach
Lin Xie, Ran Chu, Kai Wang, et al.
Combinatorial Chemistry & High Throughput Screening
|
February 28, 2023
Apatinib Inhibits Bladder Cancer through Suppression of the VEGFR2- PI3K-AKT Signaling Pathway as Revealed by Network Pharmacology and <i>in vitro</i> Experimental Verification
Weiwei Wang, Lin Chen, Jin Yang, et al.
Journal of Proteome Research
|
December 14, 2011
Distinct urinary metabolic profile of human colorectal cancer
Yu Cheng, Guoxiang Xie, Tianlu Chen, et al.
Journal of Proteome Research
|
May 17, 2013
Metabonomics identifies serum metabolite markers of colorectal cancer
Binbin Tan, Yunping Qiu, Xia Zou, et al.
The American Journal of Pathology
|
February 21, 2024
A Histopathologic Image Analysis for the Classification of Endocervical Adenocarcinoma Silva Patterns Depend on Weakly Supervised Deep Learning
Qingqing Liu, Xiaofang Zhang, Xuji Jiang, et al.
Cancer Medicine
|
August 10, 2023
Identification of lymph node metastasis in pre-operation cervical cancer patients by weakly supervised deep learning from histopathological whole-slide biopsy images
Qingqing Liu, Nan Jiang, Yiping Hao, et al.
Page
of 5