المؤلفون: Zhang, Ruochi, Wu, Haoran, Xiu, Yuting, Li, Kewei, Chen, Ningning, Wang, Yu, Wang, Yan, Gao, Xin, Zhou, Fengfeng

مصطلحات موضوعية: Quantitative Biology - Biomolecules, Computer Science - Artificial Intelligence, Quantitative Biology - Quantitative Methods

الوصول الحر: http://arxiv.org/abs/2311.04419Test

المؤلفون: Chen, NingNing

مرشدي الرسالة: Gao, Xin, Biological and Environmental Science and Engineering (BESE) Division, Gojobori, Takashi, Wang, Di

مصطلحات موضوعية: SARS-CoV-2, deep learning

الإتاحة: http://hdl.handle.net/10754/679636Test

المؤلفون: Chen,Ningning, Liu,Yan, Yuan,Lin, Wu,Huixian, Xue,Junzeng

المصدر: Aquatic Invasions 19(1): 1-23

مصطلحات موضوعية: stages, development, settlement, Zhoushan Sea, China Sea

وصف الملف: text/html

العلاقة: info:eu-repo/semantics/altIdentifier/eissn/1818-5487; info:eu-repo/semantics/altIdentifier/pissn/1798-6540

الإتاحة: https://doi.org/10.3391/ai.2024.19.1.115111Test
https://aquaticinvasions.arphahub.com/article/115111Test/
https://aquaticinvasions.arphahub.com/article/115111/download/pdfTest/

المؤلفون: Zhou, Juexiao, Chen, Siyuan, Wu, Yulian, Li, Haoyang, Zhang, Bin, Zhou, Longxi, Hu, Yan, Xiang, Zihang, Li, Zhongxiao, Chen, NingNing, Han, Wenkai, Xu, Chencheng, Wang, Di, Gao, Xin

المساهمون: Computer Science Program, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia., Computational Bioscience Research Center, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia., Computer Science Program, Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division, Computational Bioscience Research Center (CBRC), Bioscience Program, Biological and Environmental Science and Engineering (BESE) Division

وصف الملف: application/pdf

العلاقة: Science Advances; http://hdl.handle.net/10754/696996Test; 10

الإتاحة: https://doi.org/10.1126/sciadv.adh8601Test
http://hdl.handle.net/10754/696996Test

المؤلفون: Yang, Jie, Chen, Congjie, Chen, Ningning, Zheng, Helin, Chen, Yuxia, Li, Xiaoli, Jia, Qingxia, Li, Tingsong

المصدر: Frontiers in Pediatrics ; volume 12 ; ISSN 2296-2360

الإتاحة: https://doi.org/10.3389/fped.2024.1382172Test

المؤلفون: Chen, Guoliang, Tong, Kuileung, Li, Shiming, Huang, Zerong, Liu, Shuangjiang, Zhu, Haoran, Zhong, Yanheng, Zhou, Zhisen, Jiao, Genlong, Wei, Fuxin, Chen, Ningning

المصدر: Bioactive Materials ; volume 35, page 135-149 ; ISSN 2452-199X

مصطلحات موضوعية: Biomedical Engineering, Biomaterials, Biotechnology

الإتاحة: https://doi.org/10.1016/j.bioactmat.2024.01.013Test
https://api.elsevier.com/content/article/PII:S2452199X24000239?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S2452199X24000239?httpAccept=text/plainTest

المؤلفون: FANG Xinqiu, FENG Haotian, LIANG Minfu, CHEN Ningning, WU Gang, SONG Yang

المصدر: Gong-kuang zidonghua, Vol 49, Iss 6, Pp 78-87 (2023)

مصطلحات موضوعية: intelligent coal mining, intelligent perception, fiber optic sensing, perception of mining environment, mining equipment posture perception, multi-sensor fusion, safety decision-making of coal mining, Mining engineering. Metallurgy, TN1-997

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/1671-251XTest

الوصول الحر: https://doaj.org/article/d90652bfbdd3478092a8ecf8ac8c2ed2Test

المؤلفون: Chen Ningning, Zhou Yu

المصدر: Xin yixue, Vol 53, Iss 6, Pp 408-411 (2022)

مصطلحات موضوعية: long non-coding rna, linc01614, malignant tumor, Medicine

وصف الملف: electronic resource

العلاقة: https://www.xinyixue.cn/fileup/0253-9802/PDF/1658129301020-168325049.pdfTest; https://doaj.org/toc/0253-9802Test

الوصول الحر: https://doaj.org/article/3622d595bc4d4a2ab601f7f463f328eeTest

المؤلفون: Shim, Injeong, Kuwahara, Hiroyuki, Chen, NingNing, Hashem, Mais O., AlAbdi, Lama, Abouelhoda, Mohamed, Won, Hong-Hee, Natarajan, Pradeep, Ellinor, Patrick T., Khera, Amit V., Gao, Xin, Alkuraya, Fowzan S., Fahed, Akl C.

المساهمون: Computational Biosciences Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, Computer Science Program, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division, Bioscience Program, Biological and Environmental Science and Engineering (BESE) Division, Computer Science Program, Cardiovascular Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA, Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea, Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA, Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA, Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia, Department of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia, Department of Computation Sciences, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia, Verve Therapeutics, Cambridge, MA, USA

وصف الملف: application/pdf

العلاقة: https://www.nature.com/articles/s41467-023-41985-1Test; Shim, I., Kuwahara, H., Chen, N., Hashem, M. O., AlAbdi, L., Abouelhoda, M., Won, H.-H., Natarajan, P., Ellinor, P. T., Khera, A. V., Gao, X., Alkuraya, F. S., & Fahed, A. C. (2023). Clinical utility of polygenic scores for cardiometabolic disease in Arabs. Nature Communications, 14(1). https://doi.org/10.1038/s41467-023-41985-1Test; 2-s2.0-85174455165; Nature Communications; http://hdl.handle.net/10754/695719Test; 14

الإتاحة: https://doi.org/10.1038/s41467-023-41985-1Test
http://hdl.handle.net/10754/695719Test

المؤلفون: Bhattacharya, Romit, Chen, NingNing, Shim, Injeong, Kuwahara, Hiroyuki, Gao, Xin, Alkuraya, Fowzan S., Fahed, Akl C.

المساهمون: Computational Biosciences Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia, Computer Science Program, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia, Bioscience Program, Biological and Environmental Science and Engineering (BESE) Division, Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division, Computer Science Program, Department of Medicine, Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, 185 Cambridge Street, Department of Medicine, Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA, Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA, Department of Digital Health, Samsung Medical Center, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of South Korea, Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Kingdom of Saudi Arabia

وصف الملف: application/pdf

العلاقة: https://genomemedicine.biomedcentral.com/articles/10.1186/s13073-023-01254-8Test; Genome Medicine; http://hdl.handle.net/10754/695812Test; 15

الإتاحة: https://doi.org/10.1186/s13073-023-01254-8Test
http://hdl.handle.net/10754/695812Test