Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Yongkai Wu"'
Publikováno v:
Chinese Journal of Lung Cancer, Vol 14, Iss 11, Pp 848-852 (2011)
Background and objective Decorin is a protein component of the extracellular matrix. It has been proven that decorin plaid an important role in matrix assembly. The protein is also capable of suppressing tumor cell growth. The aim of this study is to
Externí odkaz:
https://doaj.org/article/5cfbf60e1eed427397051d7e06f457ec
Publikováno v:
Cancer Biology & Medicine, Vol 6, Iss 2, Pp 85-89 (2009)
OBJECTIVE Ampullary carcinoma is a rare disease with better prognosis than other periampullary neoplasms. This study investigated the association between clinicopathologic factors and prognosis after radical resection of ampulla of Vater carcinoma.ME
Externí odkaz:
https://doaj.org/article/b90acb31bc244629b608ba233398f0c6
Autor:
Zijun Huang, Yudong Li, Jiaxing Zhou, Yi Zhang, Jiacheng Wu, Yongkai Wu, Fan Zhang, Zhengjun Fang, Yuehui Li
Publikováno v:
ChemSusChem. 16
Publikováno v:
Bioengineered, Vol 12, Iss 2, Pp 10047-10062 (2021)
Bioengineered
article-version (VoR) Version of Record
Bioengineered
article-version (VoR) Version of Record
E2F family of transcription factors modulates multiple cellular functions associated with cell cycle and apoptosis. Here, we focused on the relevance of E2F1 to esophageal squamous cell carcinoma (ESCC) and identification of E2F1-mediated network in
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783031333736
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e22f052d82fa57dfdbc47f73e529bfc
https://doi.org/10.1007/978-3-031-33374-3_5
https://doi.org/10.1007/978-3-031-33374-3_5
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:12104-12112
Causal inference from observational data is receiving wide applications in many fields. However, unidentifiable situations, where causal effects cannot be uniquely computed from observational data, pose critical barriers to applying causal inference
Publikováno v:
International Journal of Computers and Applications. 45:151-160
We, the Editor and Publisher of the International Journal of Computers and Applications, have retracted the following article which was part of the Special Issue on Advanced Security Techniques for...
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 31:2035-2050
Anti-discrimination is an increasingly important task in data science. In this paper, we investigate the problem of discovering both direct and indirect discrimination from the historical data, and removing the discriminatory effects before the data