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Aging
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April 9, 2021
Tumor suppressor DCAF15 inhibits epithelial-mesenchymal transition by targeting ZEB1 for proteasomal degradation in hepatocellular carcinoma
Xiao Dong, Yang Han, Encheng Zhang, et al.
Epigenetics
|
March 23, 2023
Histone demethylase KDM4B contributes to advanced clear cell renal carcinoma and association with copy number variations and cell cycle progression
Heting Tang, Yaping Guan, Zhihao Yuan, et al.
Cancer Science
|
November 3, 2023
KDM4B: A promising oncology therapeutic target
Fangjing Ni, Heting Tang, Siteng Cheng, et al.
British Journal of Cancer
|
November 26, 2021
Machine learning-based pathomics signature could act as a novel prognostic marker for patients with clear cell renal cell carcinoma
Siteng Chen, Liren Jiang, Feng Gao, et al.
Comparative Biochemistry and Physiology. Toxicology & Pharmacology : CBP
|
May 17, 2025
Trichothecenes toxicity in humans and animals: Unraveling the mechanisms and harnessing phytochemicals for prevention
Jiexing Zhang, Haoyan Li, Encheng Zhang, et al.
Heliyon
|
September 26, 2022
Machine learning-based prognosis signature for survival prediction of patients with clear cell renal cell carcinoma
Siteng Chen, Tuanjie Guo, Encheng Zhang, et al.
Cancer Science
|
May 1, 2021
Clinical use of machine learning-based pathomics signature for diagnosis and survival prediction of bladder cancer
Siteng Chen, Liren Jiang, Xinyi Zheng, et al.
Frontiers in Immunology
|
February 24, 2022
Robust Prediction of Prognosis and Immunotherapeutic Response for Clear Cell Renal Cell Carcinoma Through Deep Learning Algorithm
Siteng Chen, Encheng Zhang, Liren Jiang, et al.
Frontiers in Oncology
|
July 5, 2021
A Novel Nomogram Based on Machine Learning-Pathomics Signature and Neutrophil to Lymphocyte Ratio for Survival Prediction of Bladder Cancer Patients
Siteng Chen, Liren Jiang, Encheng Zhang, et al.
International Journal of Cancer
|
September 8, 2020
Clinical use of a machine learning histopathological image signature in diagnosis and survival prediction of clear cell renal cell carcinoma
Siteng Chen, Ning Zhang, Liren Jiang, et al.
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Search research articles
Search
Showing results (11-20 of 24) with videos related to
Sort By:
Page
of 3
Aging
|
April 9, 2021
Tumor suppressor DCAF15 inhibits epithelial-mesenchymal transition by targeting ZEB1 for proteasomal degradation in hepatocellular carcinoma
Xiao Dong, Yang Han, Encheng Zhang, et al.
Epigenetics
|
March 23, 2023
Histone demethylase KDM4B contributes to advanced clear cell renal carcinoma and association with copy number variations and cell cycle progression
Heting Tang, Yaping Guan, Zhihao Yuan, et al.
Cancer Science
|
November 3, 2023
KDM4B: A promising oncology therapeutic target
Fangjing Ni, Heting Tang, Siteng Cheng, et al.
British Journal of Cancer
|
November 26, 2021
Machine learning-based pathomics signature could act as a novel prognostic marker for patients with clear cell renal cell carcinoma
Siteng Chen, Liren Jiang, Feng Gao, et al.
Comparative Biochemistry and Physiology. Toxicology & Pharmacology : CBP
|
May 17, 2025
Trichothecenes toxicity in humans and animals: Unraveling the mechanisms and harnessing phytochemicals for prevention
Jiexing Zhang, Haoyan Li, Encheng Zhang, et al.
Heliyon
|
September 26, 2022
Machine learning-based prognosis signature for survival prediction of patients with clear cell renal cell carcinoma
Siteng Chen, Tuanjie Guo, Encheng Zhang, et al.
Cancer Science
|
May 1, 2021
Clinical use of machine learning-based pathomics signature for diagnosis and survival prediction of bladder cancer
Siteng Chen, Liren Jiang, Xinyi Zheng, et al.
Frontiers in Immunology
|
February 24, 2022
Robust Prediction of Prognosis and Immunotherapeutic Response for Clear Cell Renal Cell Carcinoma Through Deep Learning Algorithm
Siteng Chen, Encheng Zhang, Liren Jiang, et al.
Frontiers in Oncology
|
July 5, 2021
A Novel Nomogram Based on Machine Learning-Pathomics Signature and Neutrophil to Lymphocyte Ratio for Survival Prediction of Bladder Cancer Patients
Siteng Chen, Liren Jiang, Encheng Zhang, et al.
International Journal of Cancer
|
September 8, 2020
Clinical use of a machine learning histopathological image signature in diagnosis and survival prediction of clear cell renal cell carcinoma
Siteng Chen, Ning Zhang, Liren Jiang, et al.
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