Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Van Hoan Do"'
Publikováno v:
Algorithms for Molecular Biology, Vol 19, Iss 1, Pp 1-12 (2024)
Abstract Metric multidimensional scaling is one of the classical methods for embedding data into low-dimensional Euclidean space. It creates the low-dimensional embedding by approximately preserving the pairwise distances between the input points. Ho
Externí odkaz:
https://doaj.org/article/1cd6811517a8445d81e32bd86545987e
Autor:
Van Hoan Do, Van Sang Nguyen, Son Hoang Nguyen, Duc Quang Le, Tam Thi Nguyen, Canh Hao Nguyen, Tho Huu Ho, Nam S. Vo, Trang Nguyen, Hoang Anh Nguyen, Minh Duc Cao
Publikováno v:
iScience, Vol 27, Iss 9, Pp 110623- (2024)
Summary: Machine learning has the potential to be a powerful tool in the fight against antimicrobial resistance (AMR), a critical global health issue. Machine learning can identify resistance mechanisms from DNA sequence data without prior knowledge.
Externí odkaz:
https://doaj.org/article/ee0b497cebc544b495aed8a4c7ff436c
Autor:
Van Hoan Do, Stefan Canzar
Publikováno v:
Genome Biology, Vol 22, Iss 1, Pp 1-9 (2021)
Abstract Emerging single-cell technologies profile multiple types of molecules within individual cells. A fundamental step in the analysis of the produced high-dimensional data is their visualization using dimensionality reduction techniques such as
Externí odkaz:
https://doaj.org/article/2a2b62b8572a4eb2953fc10359f62288
Publikováno v:
iScience, Vol 23, Iss 6, Pp 101126- (2020)
Summary: The massive size of single-cell RNA sequencing datasets often exceeds the capability of current computational analysis methods to solve routine tasks such as detection of cell types. Recently, geometric sketching was introduced as an alterna
Externí odkaz:
https://doaj.org/article/b43c4b9ada704f55958ff8bc20008f72
Metric multidimensional scaling is one of the classical methods for embedding data into low-dimensional Euclidean space. It creates the low-dimensional embedding by approximately preserving the pairwise distances between the input points. However, cu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::505673dbc7e6bfb8718e15b6138e4a3a
https://doi.org/10.1101/2021.06.24.449725
https://doi.org/10.1101/2021.06.24.449725
Publikováno v:
Genome Res
A fundamental task in single-cell RNA-seq (scRNA-seq) analysis is the identification of transcriptionally distinct groups of cells. Numerous methods have been proposed for this problem, with a recent focus on methods for the cluster analysis of ultra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::030acd121eb626251467a2dd602a512b
https://doi.org/10.1101/2020.06.15.151910
https://doi.org/10.1101/2020.06.15.151910
Akademický článek
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Autor:
Stefan Canzar, Khaled Elbassioni, Pablo Monteagudo, Domagoj Matijevic, Mislav Blazevic, Francisca Rojas Ringeling, Sören Laue, Van Hoan Do, Luka Borozan
Publikováno v:
RECOMB
Single-cell RNA sequencing enables the construction of trajectories describing the dynamic changes in gene expression underlying biological processes such as cell differentiation and development. The comparison of single-cell trajectories under two d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e63afaa0b197d1d029ea60bc8076bf8
Publikováno v:
Tạp chí Khoa học, Vol 53, Iss 2C, Pp 65-73 (2024)
The paper investigates the correlation between seating positions in the classroom and academic performance in the subject of Computer Networks, specifically focusing on students from the Faculty of Information Technology at Thai Nguyen University
Externí odkaz:
https://doaj.org/article/601f0b0c946d46c982f1337ccca7b8c0