IOCAS-IR

浏览/检索结果: 共5条,第1-5条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Genome-wide mapping of regulatory variants for temperature- and salinity-adaptive genes reveals genetic basis of genotype-by-environment interaction in Crassostrea ariakensis 期刊论文
ENVIRONMENTAL RESEARCH, 2023, 卷号: 236, 页码: 10
作者:  Zhang, Kexin;  Yang, Qi;  Du, Mingyang;  Zhang, Ziyan;  Wang, Wei;  Zhang, Guofan;  Li, Ao;  Li, Li
Adobe PDF(4626Kb)  |  收藏  |  浏览/下载:85/0  |  提交时间:2023/12/13
Temperature and salinity  Adaptation  Genotype-by-environment interaction  Gene expression  Cis-andtrans-eQTL  Crassostrea ariakensis  
Widespread global disparities between modelled and observed mid-depth ocean currents 期刊论文
NATURE COMMUNICATIONS, 2023, 卷号: 14, 期号: 1, 页码: 9
作者:  Su, Fenzhen;  Fan, Rong;  Yan, Fengqin;  Meadows, Michael;  Lyne, Vincent;  Hu, Po;  Song, Xiangzhou;  Zhang, Tianyu;  Liu, Zenghong;  Zhou, Chenghu;  Pei, Tao;  Yang, Xiaomei;  Du, Yunyan;  Wei, Zexun;  Wang, Fan;  Qi, Yiquan;  Chai, Fei
收藏  |  浏览/下载:98/0  |  提交时间:2023/12/13
The development of a 30 K SNP genotyping tool targeting genomic regions of temperature and salinity adaptation in estuarine oyster 期刊论文
AQUACULTURE, 2023, 卷号: 566, 页码: 10
作者:  Zhang, Kexin;  Li, Ao;  Qi, Haigang;  Yang, Qi;  Du, Mingyang;  Wang, Xuegang;  Zhang, Ziyan;  Wang, Chaogang;  Wang, Wei;  Zhang, Guofan;  Li, Li
收藏  |  浏览/下载:108/0  |  提交时间:2023/12/13
Targeted genotyping  SNPs  Selective regions  Temperature and salinity genes  Environmental adaptation  Crassostrea ariakensis  
Rapid identification of fish species by laser-induced breakdown spectroscopy and Raman spectroscopy coupled with machine learning methods 期刊论文
FOOD CHEMISTRY, 2023, 卷号: 400, 页码: 9
作者:  Ren, Lihui;  Tian, Ye;  Yang, Xiaoying;  Wang, Qi;  Wang, Leshan;  Geng, Xin;  Wang, Kaiqiang;  Du, Zengfeng;  Li, Ying;  Lin, Hong
Adobe PDF(4660Kb)  |  收藏  |  浏览/下载:149/0  |  提交时间:2023/01/12
Fish species identification  laser -induced breakdown spectroscopy (LIBS)  Raman spectroscopy  Machine learning  convolutional neural network (CNN)  Data fusion  
Recovering Bathymetry From Satellite Altimetry-Derived Gravity by Fully Connected Deep Neural Network 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2023, 卷号: 20, 页码: 5
作者:  Yang, Lei;  Liu, Min;  Liu, Na;  Guo, Jinyun;  Lin, Lina;  Zhang, Yuyuan;  Du, Xing;  Xu, Yongsheng;  Zhu, Chengcheng;  Wang, Yongkang
收藏  |  浏览/下载:128/0  |  提交时间:2023/12/07
Gravity  Bathymetry  Satellites  Geology  Altimetry  Geologic measurements  Sea measurements  convolutional neural network (CNN)  fully connected deep neural network (FC-DNN)  gravity  gravity-geological method  satellite altimetry