Zobrazeno 1 - 10
of 3 232
pro vyhledávání: '"Topological data analysis"'
Autor:
Eunwoo Heo, Jae-Hun Jung
Publikováno v:
AIMS Mathematics, Vol 9, Iss 10, Pp 27028-27057 (2024)
Recent studies have actively employed persistent homology (PH), a topological data analysis technique, to analyze the topological information in time series data. Many successful studies have utilized graph representations of time series data for PH
Externí odkaz:
https://doaj.org/article/85e5022f6ecc4a539031564e75a1d079
Autor:
Leonardo Daou, Eileen Marie Hanna
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 3595-3609 (2024)
Protein complexes are groups of interacting proteins that are central to multiple biological processes. Studying protein complexes can enhance our understanding of cellular functions and malfunctions and thus support the development of effective dise
Externí odkaz:
https://doaj.org/article/bc8a5f8c29604f67b5f27e92b49337b0
Autor:
O. A. Gromova, I. Yu. Torshin
Publikováno v:
Фармакоэкономика, Vol 17, Iss 2, Pp 172-181 (2024)
Objective: to conduct chemoreactomic, pharmacoinformatic and chemoneurocytological analyzes of the properties of racetams (piracetam, aniracetam, pramiracetam, levetiracetam, fonturacetam).Material and methods. Chemoreactomic, pharmacoinformatic and
Externí odkaz:
https://doaj.org/article/a375bb132cdb4369baa91822bd3721ab
Autor:
Nurul Atiqah Romli, Nur Fariha Syaqina Zulkepli, Mohd Shareduwan Mohd Kasihmuddin, Nur Ezlin Zamri, Nur 'Afifah Rusdi, Gaeithry Manoharam, Mohd. Asyraf Mansor, Siti Zulaikha Mohd Jamaludin, Amierah Abdul Malik
Publikováno v:
AIMS Mathematics, Vol 9, Iss 8, Pp 22321-22365 (2024)
Evaluating behavioral patterns through logic mining within a given dataset has become a primary focus in current research. Unfortunately, there are several weaknesses in the research regarding the logic mining models, including an uncertainty of the
Externí odkaz:
https://doaj.org/article/bb96c96566734319b76d8d1981cc994f
Autor:
I. Yu. Torshin, M. V. Filimonova, O. A. Gromova, L. A. Maiorova, M. A. Sorokina, D. E. Frolova, A. N. Gromov, I. A. Reyer
Publikováno v:
Фармакоэкономика, Vol 17, Iss 1, Pp 95-105 (2024)
Background. The search for an effective and safe pharmacotherapy for tumor diseases includes the evaluation of the action of candidate molecules on various types of tumor cells. Vitamin B12 and its derivatives are promising molecules whose properties
Externí odkaz:
https://doaj.org/article/ae856d0bf73f4081bda96c2d66857f1f
Autor:
Yinzhu Jin, Rory McDaniel, N. Joseph Tatro, Michael J. Catanzaro, Abraham D. Smith, Paul Bendich, Matthew B. Dwyer, P. Thomas Fletcher
Publikováno v:
Frontiers in Computer Science, Vol 6 (2024)
Many deep generative models, such as variational autoencoders (VAEs) and generative adversarial networks (GANs), learn an immersion mapping from a standard normal distribution in a low-dimensional latent space into a higher-dimensional data space. As
Externí odkaz:
https://doaj.org/article/27a48a21b24043779d3800b7b6875e1f
Publikováno v:
Frontiers in Neuroinformatics, Vol 18 (2024)
Topological data analysis (TDA) is increasingly recognized as a promising tool in the field of neuroscience, unveiling the underlying topological patterns within brain signals. However, most TDA related methods treat brain signals as if they were sta
Externí odkaz:
https://doaj.org/article/75335fb55c984795857039569b5dacb5
Autor:
Jan Rhomberg-Kauert, Max Karlsson, Divya Thiagarajan, Tomasz Kallas, Filip Karlsson, Simon Fredriksson, Johan Dahlberg, Alvaro Martinez Barrio
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
Advances in spatial proteomics and protein colocalization are a driving force in the understanding of cellular mechanisms and their influence on biological processes. New methods in the field of spatial proteomics call for the development of algorith
Externí odkaz:
https://doaj.org/article/3c4fcd73efd1438d9477a295af9034c4
Publikováno v:
IEEE Access, Vol 12, Pp 139609-139619 (2024)
With the development of the brain-computer interface, it is possible to assess the image quality based on an electroencephalogram (EEG) signal, which is essential to construct a quality assessment system that accords with the characteristics of the h
Externí odkaz:
https://doaj.org/article/c441f8c98113441b830e2cbe0ff0ac2f
Publikováno v:
IEEE Access, Vol 12, Pp 129541-129573 (2024)
Unsupervised representation learning techniques are commonly employed to analyze high-dimensional or unstructured data. In some cases, users may have prior knowledge of the topology of the data, such as a known cluster structure or the fact that it f
Externí odkaz:
https://doaj.org/article/95141289edae474b9176210cd6627ee2