Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Junbin Zhong"'
Publikováno v:
BMC Surgery, Vol 22, Iss 1, Pp 1-8 (2022)
Abstract Background The choice of surgical strategy for patients with rectal gastrointestinal stromal tumor (GIST) remains controversial. This study aims to address whether the surgical procedure [local excision (LE) vs. radical excision (RE)] influe
Externí odkaz:
https://doaj.org/article/ebc505ea032848c4b76e2d4d6f185233
Publikováno v:
BMC Cancer, Vol 21, Iss 1, Pp 1-9 (2021)
Abstract Background Compared to conventional adenocarcinoma (CA), mucin-producing adenocarcinoma (MPA) is an uncommon histological subtype and is usually separated from other histological types and has been evaluated separately. The objective was to
Externí odkaz:
https://doaj.org/article/c4ca2fb1766240a7bc6666dfdfb1ba19
Publikováno v:
Symmetry, Vol 15, Iss 5, p 1047 (2023)
A nonlinear dynamical model for the plankton population in a fixed sea area under the influence of asymmetric multiple factors, including atmospheric CO2 concentration, atmospheric temperature, nutrient concentration, seawater temperature, light inte
Externí odkaz:
https://doaj.org/article/8a043cf75a594f578c0f94de044e6774
Autor:
Jie Cao, Jianchang Wei, Ping Yang, Tong Zhang, Zhuanpeng Chen, Feng He, Fang Wei, Huacui Chen, He Hu, Junbin Zhong, Zhi Yang, Wensong Cai, Wanglin Li, Qiang Wang
Publikováno v:
Molecular Cancer, Vol 17, Iss 1, Pp 1-6 (2018)
Abstract Genome-scale CRISPR-Cas9 Knockout Screening was applied to investigate novel targets in imatinib-resistant gastrointestinal stromal tumor (GIST). 20 genes and 2 miRNAs have been selected by total reads of sgRNA and sgRNA diversity, which has
Externí odkaz:
https://doaj.org/article/026becaa1223493e8d5e6d517cfe5bc7
Publikováno v:
BMC Cancer, Vol 21, Iss 1, Pp 1-9 (2021)
BMC Cancer
BMC Cancer
Background Compared to conventional adenocarcinoma (CA), mucin-producing adenocarcinoma (MPA) is an uncommon histological subtype and is usually separated from other histological types and has been evaluated separately. The objective was to compare t
Autor:
Jie Cao, Wang-Lin Li, Tong Zhang, Jianchang Wei, Zhuanpeng Chen, Bing-Zheng Zhong, Qiang Wang, Junbin Zhong, Ping Yang
Publikováno v:
Oncology Letters
The current study aimed to develop multiple diagnosis models for colorectal cancer (CRC) based on data from The Cancer Genome Atlas database and analysis with artificial neural networks in order to enhance CRC diagnosis methods. A genetic algorithm a
Autor:
Wang-Lin Li, Hua-Cui Chen, Jie Cao, Feng He, Jianchang Wei, Tong Zhang, Zhuanpeng Chen, Ping Yang, Qiang Wang, He Hu, Wen-Song Cai, Junbin Zhong, Fang Wei, Zhi Yang
Publikováno v:
Molecular Cancer, Vol 17, Iss 1, Pp 1-6 (2018)
Molecular Cancer
Molecular Cancer
Genome-scale CRISPR-Cas9 Knockout Screening was applied to investigate novel targets in imatinib-resistant gastrointestinal stromal tumor (GIST). 20 genes and 2 miRNAs have been selected by total reads of sgRNA and sgRNA diversity, which has been fur
Publikováno v:
Engineering Structures. 132:139-151
In practice, the steel pipe-jacking can be regarded as a thin-walled cylindrical shell mainly subjected to jacking force in the axial direction and surrounded by the soil which is usually simplified and modeled as an elastic foundation. In this paper
Autor:
Feng He, Jianchang Wei, Jie Cao, Ping Yang, He Hu, Qiang Wang, Zhuanpeng Chen, Wanglin Li, Hua‑Cui Chen, Junbin Zhong
Publikováno v:
International Journal of Oncology.
Colorectal cancer (CRC) is the third most common type of cancer; however, the molecular mechanisms underlying colorectal tumor metastasis and growth remain elusive. Recently, accumulating evidence has indicated that long non‑coding RNAs (lncRNAs) p
Autor:
Cao, Jie, Jianchang Wei, Yang, Ping, Zhang, Tong, Zhuanpeng Chen, He, Feng, Wei, Fang, Huacui Chen, Hu, He, Junbin Zhong, Yang, Zhi, Wensong Cai, Wanglin Li, Wang, Qiang
Table S5. Detailed information of GO analysis for the selected 20 genes. (DOCX 13Â kb)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89b016b7f6d9631a32eb66d7482a6341