Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jinpu Cai"'
Autor:
Qiuyu Lian, Jianzhu Ma, Kui Hua, Ziqi Rong, Jinpu Cai, Xinzhu Jiang, Jieli Zhou, Jiaying Xu, Zhiyuang Zhang, Li Fan, Henry Zou, Xiaoling Huang, Qi Yan, Jin Gu, Xuegong Zhang, Hong-Bin Shen, John Marioni, Kong Chen, Hongyi Xin
Controlling total mRNA content differences between cell populations is critical in comparative transcriptomic measurements. Due to poor compatibility with ERCC, a good control for droplet-based scRNA-seq is yet to be discovered. Normalizing cells to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::948e8bfc1ae67dc37e12248e2e37dcb1
https://doi.org/10.21203/rs.3.rs-2211167/v1
https://doi.org/10.21203/rs.3.rs-2211167/v1
Autor:
Shuai Liu, Yuewei Sun, Wen Zhang, Meiyu Duan, Shiying Ding, Jingyi Lyu, Jinpu Cai, Lan Huang, Fengfeng Zhou, Yuyang Xu
Publikováno v:
Briefings in Bioinformatics. 22
Motivation: DNA methylation is a biological process impacting the gene functions without changing the underlying DNA sequence. The DNA methylation machinery usually attaches methyl groups to some specific cytosine residues, which modify the chromatin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::620088d22193d436a043dfaf5332c430
https://doi.org/10.1093/bib/bbaa253
https://doi.org/10.1093/bib/bbaa253
Publikováno v:
2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA).
Arc consistency (AC) series algorithm is a natural and simple method to deal with constraint satisfaction problem, and AC6 algorithm is the algorithm with optimal time and space complexity in the mainstream AC series algorithm. This article through t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0716ffe5e004b43fa5525c6c4c2d8e11
https://doi.org/10.1109/icmtma50254.2020.00143
https://doi.org/10.1109/icmtma50254.2020.00143
Publikováno v:
Advances in Neural Networks – ISNN 2020 ISBN: 9783030642204
ISNN
ISNN
This paper focuses on the application of vehicle recognition in foggy weather, and proposes a two-step recognition algorithm based on deep learning, hoping to still have a good recognition result under the influence of fog. In AlOne, we use the curre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e75ca950e817c09e1c1307404817fc85
https://doi.org/10.1007/978-3-030-64221-1_12
https://doi.org/10.1007/978-3-030-64221-1_12