Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Hyebin Song"'
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 3, p e1010956 (2023)
Directed laboratory evolution applies iterative rounds of mutation and selection to explore the protein fitness landscape and provides rich information regarding the underlying relationships between protein sequence, structure, and function. Laborato
Externí odkaz:
https://doaj.org/article/4614ccefeebe41d58d180b7e7b05aa3c
Publikováno v:
Organic & Biomolecular Chemistry; 6/7/2024, Vol. 22 Issue 21, p4243-4248, 6p
Autor:
Huikyeong Byeon, Boyun Kim, Hyejee Hwang, Minji Kim, Hyeonjin Yoo, Hyebin Song, Seoung Ho Lee, Byoung Hoon Lee
Publikováno v:
ACS Applied Materials & Interfaces. 15:10926-10935
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecd203495dd26ef38a47b3ef28a2b320
https://doi.org/10.1021/acsami.3c00947
https://doi.org/10.1021/acsami.3c00947
Clouds play a significant role in our climate system by influencing radiative balances. Global clouds, by changing the amount and optical property, alter the amount of the net radiation by trapping outgoing longwave radiation or reflecting the incomi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60e877af1be36eec8c70f32609a1a1df
https://doi.org/10.5194/egusphere-egu23-15301
https://doi.org/10.5194/egusphere-egu23-15301
Directed laboratory evolution applies iterative rounds of mutation and selection to explore the protein fitness landscape and provides rich information regarding the underlying relationships between protein sequence, structure, and function. Laborato
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f08bab2045e53e40603a31f912fdb095
https://doi.org/10.1101/2022.09.01.506224
https://doi.org/10.1101/2022.09.01.506224
Publikováno v:
Chemistry – An Asian Journal. 17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cad1418cbd7adf89b2f1068e3af2ec5
https://doi.org/10.1002/asia.202200752
https://doi.org/10.1002/asia.202200752
Publikováno v:
Chemistry – An Asian Journal. 17
Detection of heparin (HP) under physiological conditions is difficult due to the presence of biological obstructions including proteins and lipids. Thus, it is highly challenging to selectively detect HP and to increase its sensitivity in complex sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::763e1a6d72c16fd357c938c4d57122e7
https://doi.org/10.1002/asia.202200458
https://doi.org/10.1002/asia.202200458
Publikováno v:
SSP
In a variety of settings, limitations of sensing technologies or other sampling mechanisms result in missing labels, where the likelihood of a missing label in the training set is an unknown function of the data. For example, satellites used to detec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74e9e8e575c5016ba58f036a508bebe8
http://arxiv.org/abs/2103.13555
http://arxiv.org/abs/2103.13555
Publikováno v:
SIAM J Math Data Sci
Sparse models for high-dimensional linear regression and machine learning have received substantial attention over the past two decades. Model selection, or determining which features or covariates are the best explanatory variables, is critical to t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b181c5a9c8c2482f16445a16b8e61958
https://pubmed.ncbi.nlm.nih.gov/32968717
https://pubmed.ncbi.nlm.nih.gov/32968717
Publikováno v:
Cell Syst
SummaryMachine learning can infer how protein sequence maps to function without requiring a detailed understanding of the underlying physical or biological mechanisms. It’s challenging to apply existing supervised learning frameworks to large-scale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3cbac973010069993e3fa7ab5813671
https://doi.org/10.1101/2020.08.19.257642
https://doi.org/10.1101/2020.08.19.257642