Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Wen-Chi Chou"'
Autor:
Chia-Hsun Hsieh, Wen-Chi Chou, Wen-Cheng Chang, Jen-Shi Chen, Siew Tzuh Tang, Ming-Mo Hou, Chen Hsiu Chen, Fur-Hsing Wen
Publikováno v:
The Oncologist. 22:1135-1142
Background Developing accurate prognostic awareness, a cornerstone of preference-based end-of-life (EOL) care decision-making, is a dynamic process involving more prognostic-awareness states than knowing or not knowing. Understanding the transition p
Publikováno v:
The Oncologist. 22:460-469
Background No population-based longitudinal studies on end-of-life (EOL) expenditures were found for cancer decedents. Methods This population-based, retrospective cohort study examined health care expenditures from 2001 to 2010 among 339,546 Taiwane
Autor:
Harry J. Gilbert, Janet Westpheling, Wen-Chi Chou, Robert L. Hettich, Irina Kataeva, Robert M. Kelly, Derrick L. Lewis, Phuongan Dam, Richard J. Giannone, Yanbin Yin, Ying Xu, Bernard Henrissat, Sung-Jae Yang, Fengfeng Zhou, Farris L. Poole, Michael W. W. Adams
Publikováno v:
Nucleic Acids Research
Caldicellulosiruptor bescii DSM 6725 utilizes various polysaccharides and grows efficiently on untreated high-lignin grasses and hardwood at an optimum temperature of 80C. It is a promising anaerobic bacterium for studying high-temperature biomass co
Autor:
Juan Cui, Jinsong Kang, Ying Xu, Lisabeth L. Hoffman, David Puett, Jian Suo, Zhaohui Ni, Wen-Chi Chou, Daniel W. Tench, Liankun Sun, Xiaoxia Kong, Li Chen, Yingying Su, Fan Li, Ron Orlando, Ming Zhang, Victor Olman, Yunbo Chen, I. Jonathan Amster, Darryl Johnson
Publikováno v:
Nucleic Acids Research
This report describes an integrated study on identification of potential markers for gastric cancer in patients’ cancer tissues and sera based on: (i) genome-scale transcriptomic analyses of 80 paired gastric cancer/reference tissues and (ii) compu
Publikováno v:
Bioinformatics
Summary: We present a novel Golgi-prediction server, GolgiP, for computational prediction of both membrane- and non-membrane-associated Golgi-resident proteins in plants. We have employed a support vector machine-based classification method for the p