Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Huanhuan Xia"'
Autor:
Yongge Li, Fusong Ju, Zhiyuan Chen, Yiming Qu, Huanhuan Xia, Liang He, Lijun Wu, Jianwei Zhu, Bin Shao, Pan Deng
Publikováno v:
Genome Biology, Vol 24, Iss 1, Pp 1-22 (2023)
Abstract Linking cis-regulatory sequences to target genes has been a long-standing challenge. In this study, we introduce CREaTor, an attention-based deep neural network designed to model cis-regulatory patterns for genomic elements up to 2 Mb from t
Externí odkaz:
https://doaj.org/article/8301baf79806450b87a353ce4bd1a17f
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2017 (2017)
Abnormal event detection is one of the vital tasks in wireless sensor networks. However, the faults of nodes and the poor deployment environment have brought great challenges to abnormal event detection. In a typical event detection technique, spatio
Externí odkaz:
https://doaj.org/article/2f38c0bbb47e4dcc804666e0f2818999
Publikováno v:
Journal of Materials Chemistry A; 4/14/2024, Vol. 12 Issue 14, p8281-8289, 5p
Publikováno v:
Renewable Energy. 201:314-322
Publikováno v:
IEEE Transactions on Big Data. 8:607-615
In this big data era, knowledge becomes increasingly linked, along with the rapid growth in data volume. Connected knowledge is naturally represented and stored as knowledge graphs, which are of great importance for many frontier research areas. Effe
Autor:
Yongge Li, Fusong Ju, Zhiyuan Chen, Yiming Qu, Huanhuan Xia, Liang He, Lijun Wu, Jianwei Zhu, Bin Shao, Pan Deng
Linking cis-regulatory sequences to target genes has been a long-standing challenge due to the intricate nature of gene regulation. Here, we present a hierarchical deep neural network, CREaTor, to decodecis-regulatory mechanisms across cell types by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ddeb94842b0314dfeeff86552a49494
https://doi.org/10.1101/2023.03.28.534267
https://doi.org/10.1101/2023.03.28.534267
Publikováno v:
Fuel Processing Technology. 241:107615
Publikováno v:
Metabolic Brain Disease. 33:1661-1668
Alzheimer's disease (AD) has been associated with the disturbance of brain glucose metabolism. The present study investigates brain glucose metabolism using 13C NMR metabolomics in combination with intravenous [1-13C]-glucose infusion in APP/PS1 tran
Publikováno v:
Proceedings of the VLDB Endowment. 11:203-216
RDF is one of the most commonly used knowledge representation forms. Many highly influential knowledge bases, such as Freebase and PubChemRDF, are in RDF format. An RDF data set is usually represented as a collection of subject-predicate-object tripl
Publikováno v:
2019 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD).
By studying the international advanced practices of government integrity evaluation represented by Standard & Poor's, Global Integrity, Transparency International and Korea, this paper found that most of the evaluations are based on perceptual survey