Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Jieli Shen"'
Publikováno v:
Molecular & Cellular Oncology, Vol 4, Iss 6 (2017)
Metaplasia is emerging as a key process in tumorigenesis. We discovered that 2 essential endoplasmic reticulum (ER) chaperones, 78-kilodalton glucose-regulated protein (GRP78) and 94-kilodalton glucose-regulated protein (GRP94) have a role in metapla
Externí odkaz:
https://doaj.org/article/320f76021daa4e5fa370b30ecc786b6b
Autor:
Wenbin Guo, Songquan Wu, Liu Chengze, Yingdong Zhang, Fuzhou Han, Fusen Yuan, Jie Ren, Hengfei Gu, Muhammad Ubaid Ali, Jieli Shen, Geping Li, Lifeng Zhang
Publikováno v:
Applied Nanoscience. 11:1549-1564
Alloys strengthened by nanometer-sized Laves phases have been used as structural components working in corrosive environments at high temperatures owing to the favorable physical and chemical properties of Laves phases. However, due to the small size
Autor:
Jieli Shen
Publikováno v:
SSRN Electronic Journal.
Autor:
Jieli Shen
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Journal of the American Statistical Association. 115:1251-1267
Inferences from different data sources can often be fused together, a process referred to as “fusion learning,” to yield more powerful findings than those from individual data sources alone. Effect...
Publikováno v:
Machine Learning
This paper applies conformal prediction to derive predictive distributions that are valid under a nonparametric assumption. Namely, we introduce and explore predictive distribution functions that always satisfy a natural property of validity in terms
Publikováno v:
Journal of Statistical Planning and Inference. 195:126-140
This paper proposes a general framework for prediction in which a prediction is presented in the form of a distribution function, called predictive distribution function. This predictive distribution function is well suited for the notion of confiden
Autor:
Amy S. Lee, Louis Dubeau, Jieli Shen, Francesco J. DeMayo, Yvonne G. Lin, Lijing Yao, John P. Lydon
Publikováno v:
Oncotarget
// Jieli Shen 1 , Lijing Yao 1 , Yvonne G. Lin 2 , Francesco J. DeMayo 3 , John P. Lydon 3 , Louis Dubeau 4 , Amy S. Lee 1 1 Department of Biochemistry and Molecular Biology, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University
Autor:
Amy S. Lee, Atefeh Rajaei, Arjun Mehta, Wangrong Yang, Yvonne G. Lin, Jieli Shen, Francesco J. DeMayo, Hai-yun Yen, Parkash S. Gill, Eunjeong Yoo, John P. Lydon, Paulette Mhawech-Fauceglia, Ren Liu
Publikováno v:
Oncogene
Rates of the most common gynecologic cancer, endometrioid adenocarcinoma (EAC), continue to rise, mirroring the global epidemic of obesity, a well-known EAC risk factor. Thus, identifying novel molecular targets to prevent and/or mitigate EAC is impe
Autor:
Genyuan Zhu, Daisy F. Rangel, Parkash S. Gill, Susan Groshen, Louis Dubeau, Amy S. Lee, Dat P. Ha, Jieli Shen, Agnieszka Kobielak
Pancreatic ductal adenocarcinoma (PDAC) remains a highly lethal disease in critical need of new therapeutic strategies. Here, we report that the stress-inducible 78-kDa glucose-regulated protein (GRP78/HSPA5), a key regulator of endoplasmic reticulum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a13920cf43a09f9358a5757b1c27b00c
https://europepmc.org/articles/PMC5441757/
https://europepmc.org/articles/PMC5441757/