Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Rachel Shi"'
Autor:
Wentong Fang, Chengheng Liao, Rachel Shi, Jeremy M Simon, Travis S Ptacek, Giada Zurlo, Youqiong Ye, Leng Han, Cheng Fan, Lei Bao, Christopher Llynard Ortiz, Hong-Rui Lin, Ujjawal Manocha, Weibo Luo, Yan Peng, William Y Kim, Lee-Wei Yang, Qing Zhang
Publikováno v:
eLife, Vol 10 (2021)
Triple-negative breast cancer (TNBC) is an aggressive and highly lethal disease, which warrants the critical need to identify new therapeutic targets. We show that Zinc Fingers and Homeoboxes 2 (ZHX2) is amplified or overexpressed in TNBC cell lines
Externí odkaz:
https://doaj.org/article/e24d4ed6d68f4043945935d9d6a7af3c
Publikováno v:
Cells, Vol 10, Iss 3, p 678 (2021)
Hypoxia, a common feature of solid tumors, greatly hinders the efficacy of conventional cancer treatments such as chemo-, radio-, and immunotherapy. The depletion of oxygen in proliferating and advanced tumors causes an array of genetic, transcriptio
Externí odkaz:
https://doaj.org/article/98416410a5794df092d811dad94360ec
Autor:
Chengheng Liao, Wentong Fang, Rachel Shi, Jeremy Simon, Travis Ptacek, Giada Zurlo, Youqiong Ye, Leng Han, Cheng Fan, Lei Bao, Christopher Llynard Ortiz, Hong-Rui Lin, Ujjawal Manocha, Weibo Luo, Yan Peng, William Y Kim, Lee-Wei Yang, Qing Zhang
Publikováno v:
Cancer Research. 83:P4-08
Background: Triple-negative breast cancer (TNBC) is an aggressive and highly lethal disease in women, while the oncogenic mechanisms which contribute to TNBC development, progression, and metastasis are poorly investigated and therefore warrant the c
Autor:
Alissa M. Michel, Haeseung Yi, Jacquelyn Amenta, Nicole Collins, Anna Vaynrub, Subiksha Umakanth, Garnet Anderson, Katie Arnold, Cynthia Law, Sandhya Pruthi, Ana Sandoval-Leon, Rachel Shirley, Maria Grosse Perdekamp, Sarah Colonna, Stacy Krisher, Tari King, Lisa D. Yee, Tarah J. Ballinger, Christa Braun-Inglis, Debra A. Mangino, Kari Wisinski, Claudia A. DeYoung, Masey Ross, Justin Floyd, Andrea Kaster, Lindi VanderWalde, Thomas J. Saphner, Corrine Zarwan, Shelly Lo, Cathy Graham, Alison Conlin, Kathleen Yost, Doreen Agnese, Cheryl Jernigan, Dawn L. Hershman, Marian L. Neuhouser, Banu Arun, Katherine D. Crew, Rita Kukafka
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Background Women with high-risk breast lesions, such as atypical hyperplasia (AH) or lobular carcinoma in situ (LCIS), have a 4- to tenfold increased risk of breast cancer compared to women with non-proliferative breast disease. Despite high
Externí odkaz:
https://doaj.org/article/7ac042041f3a4b14993e75986bbff3f6
Publikováno v:
J Genet Genomics
The identification and application of the Von Hippel-Lindau (VHL) gene is a seminal breakthrough in kidney cancer research. VHL and its protein pVHL are the root cause of most kidney cancers, and the cascading pathway below them is crucial for unders
Autor:
Rachel Shinnick, Edson Filho
Publikováno v:
Asian Journal of Sport and Exercise Psychology, Vol 4, Iss 3, Pp 103-108 (2024)
The COVID-19 pandemic provided athletes with an entirely new unforeseen circumstance, as many collegiate sport events and seasons were halted or canceled, forcing athletes into premature and non-normative retirement from sport. In the current study w
Externí odkaz:
https://doaj.org/article/01adc795aff24e5e83504d1bd4614453
Autor:
Lijuan (Rachel) Shi
Publikováno v:
Journal of Career Development. 49:989-1004
Paraeducators play a marginal yet essential role in fulfilling teaching-related tasks in many international classrooms in China. In order to meet high standards of education, schools often provide professional training to paraeducators. However, in t
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objectives Linking large-scale datasets is challenging due to the computational power required. This research explores using Locality-Sensitive-Hashing (LSH) as a novel blocking method to facilitate linking large administrative data. LSH uses an effi
Externí odkaz:
https://doaj.org/article/0f29537f73b649afa2b4f5303acc658d
Autor:
Rachel Shipsey, William Muhwava
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
The objective of our organization is to assist African National Statistical Offices (NSOs) to transition from manual to digital systems, use better methods and new technologies, and increase the reliability and accessibility of their statistics. I
Externí odkaz:
https://doaj.org/article/b9634a4cf8f7458fa3d9085cca2d88bc
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objective The Office for National Statistics aim is to create a platform containing a variety of datasets interlinked via data spines. The resource burden linking this many datasets is high, and so research to maximise automation is a key aim of the
Externí odkaz:
https://doaj.org/article/d483c7442be243bfb2d65e1e6cefad52