中国科学院机构知识库网格系统: 检索

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	Gcmeta: a global catalogue of metagenomics platform to support the archiving, standardization and analysis of microbiome data 期刊论文 iSwitch采集 Nucleic acids research, 2019, 卷号: 47, 期号: D1, 页码: D637-d648 作者: Shi, Wenyu; Qi, Heyuan; Sun, Qinglan; Fan, Guomei; Liu, Shuangjiang 收藏 \| 浏览/下载：158/0 \| 提交时间：2019/05/09
	Spatiotemporal features of the hydro-biogeochemical cycles in a typical loess gully watershed 期刊论文 OAI收割 ECOLOGICAL INDICATORS, 2018 作者: Zhao, Fubo; Wu, Yiping; Qiu, Linjing; Sivakumar, Bellie; Zhang, Fan \| 收藏 \| 浏览/下载：29/0 \| 提交时间：2019/01/31
	Parameter Uncertainty Analysis of the SWAT Model in a Mountain-Loess Transitional Watershed on the Chinese Loess Plateau 期刊论文 OAI收割 WATER, 2018 作者: Zhao, Fubo; Wu, Yiping; Qiu, Linjing; Sun, Yuzhu; Sun, Liqun \| 收藏 \| 浏览/下载：40/0 \| 提交时间：2019/01/31
	Visible-Light-Driven, Radical-Triggered Tandem Cyclization of o-Hydroxyaryl Enaminones: Facile Access to 3-CF2 /CF3-Containing Chromones 期刊论文 OAI收割 ORGANIC LETTERS, 2017, 卷号: 19, 期号: 1, 页码: 146-149 作者: Xiang, Haoyue; Zhao, Qinglan; Tang, Zhenyu; Xiao, Junan; Xia, Pengju \| 收藏 \| 浏览/下载：23/0 \| 提交时间：2019/01/08
	Design and Test of Portable Hyperspectral Imaging Spectrometer 期刊论文 OAI收割 JOURNAL OF SENSORS, 2017 作者: Zou, Chunbo; Yang, Jianfeng; Wu, Dengshan; Zhao, Qiang; Gan, Yuquan \| 收藏 \| 浏览/下载：49/0 \| 提交时间：2017/12/25
	Dynamic reassortments and genetic heterogeneity of the human-infecting influenza A (H7N9) virus 期刊论文 OAI收割 NATURE COMMUNICATIONS, 2014 作者: Cui Lunbiao; Liu Di; Shi Weifeng; Pan Jingcao; Qi Xian 收藏 \| 浏览/下载：59/0 \| 提交时间：2015/09/02
	The MicroArray Quality Control (MAQC)-IIII study of common practices for the development and validation of microarray-based predictive models 期刊论文 OAI收割 NATURE BIOTECHNOLOGY, 2010, 卷号: 28, 期号: 8, 页码: 827-U109 作者: Shi, Leming; Campbell, Gregory; Jones, Wendell D.; Campagne, Fabien; Wen, Zhining 收藏 \| 浏览/下载：106/0 \| 提交时间：2013/11/15 GENE-EXPRESSION DATA CONTROL MAQC PROJECT MULTIPLE-MYELOMA BREAST-CANCER PUBLISHED MICROARRAY FOLLICULAR LYMPHOMA RISK-STRATIFICATION DNA MICROARRAYS CLASSIFICATION PERFORMANCE