Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Stephen, Depuydt"'
Assessing the reliability of point mutation as data augmentation for deep learning with genomic data
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-19 (2024)
Abstract Background Deep neural networks (DNNs) have the potential to revolutionize our understanding and treatment of genetic diseases. An inherent limitation of deep neural networks, however, is their high demand for data during training. To overco
Externí odkaz:
https://doaj.org/article/979cd6ed040146ed80923cd0aca97af4
Publikováno v:
Plant Methods, Vol 19, Iss 1, Pp 1-46 (2023)
Abstract Computer vision technology is moving more and more towards a three-dimensional approach, and plant phenotyping is following this trend. However, despite its potential, the complexity of the analysis of 3D representations has been the main bo
Externí odkaz:
https://doaj.org/article/a5a81eae69d64cc0b9ea6afe3eb0b0d5
Autor:
Jonas De Saeger, Jihae Park, Kai Thoris, Charlotte De Bruyn, Hoo Sun Chung, Dirk Inzé, Stephen Depuydt
Publikováno v:
Plant Methods, Vol 18, Iss 1, Pp 1-13 (2022)
Abstract Background Copy number determination is one of the first steps in the characterization of transgenic plant lines. The classical approach to this, Southern blotting, is time-consuming, expensive and requires massive amounts of high-quality ge
Externí odkaz:
https://doaj.org/article/51cb82e7afc0417d8d173f698735733d
Publikováno v:
Plants, Vol 13, Iss 2, p 266 (2024)
Macroalgal growth and yield are key to sustainable aquaculture. Although light and water turbulence are two important factors that affect algal productivity, research on their interaction is limited. Therefore, in this study, we investigated the effe
Externí odkaz:
https://doaj.org/article/dfcd2bc7e0ef41abad2c2c3796a3448f
Autor:
Lena Vlaminck, Brix De Rouck, Sandrien Desmet, Thijs Van Gerrewey, Geert Goeminne, Lien De Smet, Veronique Storme, Tina Kyndt, Kristof Demeestere, Godelieve Gheysen, Dirk Inzé, Bartel Vanholme, Stephen Depuydt
Publikováno v:
Plant Direct, Vol 6, Iss 12, Pp n/a-n/a (2022)
Abstract The phenylpropanoid cinnamic acid (CA) is a plant metabolite that can occur under a trans‐ or cis‐form. In contrast to the proven bioactivity of the cis‐form (c‐CA), the activity of trans‐CA (t‐CA) is still a matter of debate. We
Externí odkaz:
https://doaj.org/article/9d87d8396a7447ea820c8014c8d6d92b
Autor:
Hojun Lee, Jonas De Saeger, Sunwoo Bae, Mirae Kim, Stephen Depuydt, Philippe M. Heynderickx, Di Wu, Taejun Han, Jihae Park
Publikováno v:
Toxics, Vol 11, Iss 9, p 788 (2023)
Aquatic environment are often contaminated with heavy metals from various industrial sources. However, physicochemical techniques for pollutant detection are limited, thus prompting the need for additional bioassays. We investigated the use of greate
Externí odkaz:
https://doaj.org/article/2899b56652cf4522b025eebb2d247281
Publikováno v:
Toxics, Vol 11, Iss 7, p 548 (2023)
We aimed to identify functional differences between different sections of the thallus of Ulva australis and develop tissue-endpoint combinations to assess the toxicity of six metals (i.e., Ag, As, Cd, Cr, Cu, and Ni). EC50 values for these metals in
Externí odkaz:
https://doaj.org/article/5461fb1b01e34d5eb2eb87eeb9dee2c7
Autor:
Lena Vlaminck, Chananchida Sang-Aram, Deborah Botterman, Christine Jewel C. Uy, Mary Kay Harper, Dirk Inzé, Godelieve Gheysen, Stephen Depuydt
Publikováno v:
Plant Methods, Vol 16, Iss 1, Pp 1-19 (2020)
Abstract Background Rice (Oryza sativa) is one of the most important model crops in plant research. Despite its considerable advantages, (phenotypic) bioassays for rice are not as well developed as for Arabidopsis thaliana. Here, we present a phenoty
Externí odkaz:
https://doaj.org/article/84a7444202fd4508a68256d2c7e53a24
Autor:
Soyeon Choi, Hojun Lee, Min-Soo Lee, Joon Tae Park, Philippe M. Heynderickx, Di Wu, Stephen Depuydt, Jana Asselman, Colin Janssen, Donat P. Häder, Taejun Han, Jihae Park
Publikováno v:
Biology, Vol 11, Iss 11, p 1618 (2022)
A chemical analysis of water quality cannot detect some toxicants due to time constraints, high costs, and limited interactions for detection. Bioassays would offer a complementary means to assess pollution levels in water. Euglena is a flagellate gr
Externí odkaz:
https://doaj.org/article/9e9d27471e5941849f905a3ab4152eda
Autor:
Jihae Park, Hojun Lee, Thai Binh Dinh, Soyeon Choi, Jonas De Saeger, Stephen Depuydt, Murray T. Brown, Taejun Han
Publikováno v:
Biology, Vol 11, Iss 5, p 628 (2022)
Arthrospira maxima is a natural source of fine chemicals for multiple biotechnological applications. We determined the optimal environmental conditions for A. maxima by measuring its relative growth rate (RGR), pigment yield, and photosynthetic perfo
Externí odkaz:
https://doaj.org/article/82d57ccd005a4263b7794cd2835d1ddf