Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Minxia CHENG"'
Publikováno v:
Dianxin kexue, Vol 36, Pp 56-63 (2020)
With the rapid development of internet of things technology,in order to better develop modern medicine,avoid the “isolated” crisis of information,and meet the requirements of timeliness and computing performance of massive data generated by edge
Externí odkaz:
https://doaj.org/article/4d40ea20f990471d855ece0f0ee65968
Autor:
Shaoliang Peng, Minxia Cheng, Kaiwen Huang, YingBo Cui, Zhiqiang Zhang, Runxin Guo, Xiaoyu Zhang, Shunyun Yang, Xiangke Liao, Yutong Lu, Quan Zou, Benyun Shi
Publikováno v:
BMC Bioinformatics, Vol 19, Iss S9, Pp 101-110 (2018)
Abstract Background Novel sequence motifs detection is becoming increasingly essential in computational biology. However, the high computational cost greatly constrains the efficiency of most motif discovery algorithms. Results In this paper, we acce
Externí odkaz:
https://doaj.org/article/608ffd9dab7a4d5bac7bd3d42e7a7973
Autor:
Shaoliang PENG, Shunyun YANG, Zhe SUN, Minxia CHENG, Yingbo CUI, Xiaowei WANG, Fei LI, Xiaochen BO, Xiangke LIAO
Publikováno v:
大数据, Vol 4, p 2018027 (2018)
The biological assessment,including matching algorithm,is realized by measuring and analyzing the human cells’ transcription reaction after stimulated by biological agents,to quickly determine the relevant detection markers and treatment targets.Si
Externí odkaz:
https://doaj.org/article/d80bedb0c5624069884465b872488a9f
Publikováno v:
HealthCom
Vaginal diseases caused by vaginal micro-ecological abnormalities mainly include Vulvovaginal Candidiasis (VVC), Aerobic Vaginitis (AV), and Bacterial Vaginosis (BV). Severe cases can lead to poor pregnancy outcomes and infertility. AI-based technolo
Autor:
Yutong Lu, Shaoliang Peng, Zhiqiang Zhang, Benyun Shi, Xiangke Liao, Kaiwen Huang, Shunyun Yang, Yingbo Cui, Minxia Cheng, Quan Zou, Runxin Guo, Xiaoyu Zhang
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 19, Iss S9, Pp 101-110 (2018)
BMC Bioinformatics, Vol 19, Iss S9, Pp 101-110 (2018)
Novel sequence motifs detection is becoming increasingly essential in computational biology. However, the high computational cost greatly constrains the efficiency of most motif discovery algorithms. In this paper, we accelerate MEME algorithm target
Publikováno v:
Interdisciplinary sciences, computational life sciences. 10(2)
The adaptive immunity system in bacteria and archaea, Clustered Regularly Interspaced Short Palindromic Repeats, CRISPR-associate (CRISPR/Cas), has been adapted as a powerful gene editing tool and got a broad application in genome research field due