Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Qichang Zhao"'
Autor:
Haochen Zhao, Peng Ni, Qichang Zhao, Xiao Liang, Di Ai, Shannon Erhardt, Jun Wang, Yaohang Li, Jianxin Wang
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-14 (2023)
Abstract Adverse Drug Reactions (ADRs) have a direct impact on human health. As continuous pharmacovigilance and drug monitoring prove to be costly and time-consuming, computational methods have emerged as promising alternatives. However, most existi
Externí odkaz:
https://doaj.org/article/c974391b2e504a209423eb176c77cdef
Publikováno v:
Remote Sensing, Vol 16, Iss 2, p 340 (2024)
In this research, E2YOLOX-VFL is proposed as a novel approach to address the challenges of optical image multi-scale ship detection and recognition in complex maritime and land backgrounds. Firstly, the typical anchor-free network YOLOX is utilized a
Externí odkaz:
https://doaj.org/article/6fa56697849247d0850e8febc0228dc9
Publikováno v:
Drones, Vol 7, Iss 10, p 607 (2023)
Drone aerial videos offer a promising future in modern digital media and remote sensing applications, but effectively tracking several objects in these recordings is difficult. Drone aerial footage typically includes complicated sceneries with moving
Externí odkaz:
https://doaj.org/article/89542873f6ff406e936480b8506d96c9
Publikováno v:
Future Generation Computer Systems. 135:20-29
Publikováno v:
Bioinformatics. 38:4153-4161
Motivation Identifying drug–target interactions is a crucial step for drug discovery and design. Traditional biochemical experiments are credible to accurately validate drug–target interactions. However, they are also extremely laborious, time-co
Publikováno v:
Communications in Computer and Information Science ISBN: 9789819908554
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45d246796f6c3bb169ae99f6a9dbdf67
https://doi.org/10.1007/978-981-99-0856-1_23
https://doi.org/10.1007/978-981-99-0856-1_23
Publikováno v:
Briefings in Bioinformatics. 23
As a frontier field of individualized therapy, microRNA (miRNA) pharmacogenomics facilitates the understanding of different individual responses to certain drugs and provides a reasonable reference for clinical treatment. However, the known drug resi
Publikováno v:
IEEE/ACM transactions on computational biology and bioinformatics.
The prediction of drug-target affinities (DTAs) is substantial in drug development. Recently, deep learning has made good progress in the prediction of DTAs. Although relatively effective, due to the black-box nature of deep learning, these models ar
Publikováno v:
Briefings in bioinformatics. 23(1)
The side effects of drugs present growing concern attention in the healthcare system. Accurately identifying the side effects of drugs is very important for drug development and risk assessment. Some computational models have been developed to predic
Motivation Identifying drug–target interactions (DTIs) is a crucial step in drug repurposing and drug discovery. Accurately identifying DTIs in silico can significantly shorten development time and reduce costs. Recently, many sequence-based method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::048f6fb5785179919b1b242d41bf4217