Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Yury Tsoy"'
Autor:
Jihoon G Yoon, JoonNyung Heo, Minkyu Kim, Yu Jin Park, Min Hyuk Choi, Jaewoo Song, Kangsan Wyi, Hakbeen Kim, Olivier Duchenne, Soowon Eom, Yury Tsoy
Publikováno v:
PLoS ONE, Vol 13, Iss 5, p e0195861 (2018)
The major challenge in the diagnosis of disseminated intravascular coagulation (DIC) comes from the lack of specific biomarkers, leading to developing composite scoring systems. DIC scores are simple and rapidly applicable. However, optimal fibrin-re
Externí odkaz:
https://doaj.org/article/2c9fb58a46ca43a5b462ec63c30daca5
Publikováno v:
KnE Life Sciences.
The paper presents a mathematical modeling of the process of movement of milk in the pipe in the formation of the slug flow. The estimation of the degree of destabilization of milk fat from hydromechanical factors is presented, which is 6-10% for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a11d14c94a8fbcdded458c7e8d311db0
https://doi.org/10.18502/kls.v4i14.5603
https://doi.org/10.18502/kls.v4i14.5603
Autor:
Yury Tsoy, Thuy Tuong Nguyen
Publikováno v:
Statistical Papers. 58:211-225
We provide a data classification mechanism with missing data handling based on kernel partial least squares (kernel PLS) and discriminant analysis (kernel PLSDA). The novelty of the method is that class variables are used for validation of the missin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77a08fc17c12269ef053817f76e3d382
https://doi.org/10.1007/s00362-015-0694-y
https://doi.org/10.1007/s00362-015-0694-y
Autor:
Olivier Duchenne, Kangsan Wyi, Yury Tsoy, JoonNyung Heo, Jihoon G. Yoon, Jaewoo Song, Min Hyuk Choi, Hakbeen Kim, Min Kyu Kim, Yu Jin Park, Soowon Eom
Publikováno v:
PLoS ONE
PLoS ONE, Vol 13, Iss 5, p e0195861 (2018)
PLoS ONE, Vol 13, Iss 5, p e0195861 (2018)
The major challenge in the diagnosis of disseminated intravascular coagulation (DIC) comes from the lack of specific biomarkers, leading to developing composite scoring systems. DIC scores are simple and rapidly applicable. However, optimal fibrin-re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::517980a8764de9da5700835070a63e96
https://pubmed.ncbi.nlm.nih.gov/29718941
https://pubmed.ncbi.nlm.nih.gov/29718941
Publikováno v:
Source Code for Biology and Medicine
Source Code for Biology and Medicine, Vol 12, Iss 1, Pp 1-3 (2017)
Source Code for Biology and Medicine, Vol 12, Iss 1, Pp 1-3 (2017)
Background Despite the broad use of FRET techniques, available methods for analyzing protein-protein interaction are subject to high labor and lack of systematic analysis. We propose an open source software allowing the quantitative analysis of fluor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68117be278ea70d13bd3cfe64b33eac1
http://europepmc.org/articles/PMC5670528
http://europepmc.org/articles/PMC5670528
Autor:
Yury Tsoy
Publikováno v:
SPIE Proceedings.
High-Content Screening (HCS) is a powerful technology for biological research, which relies heavily on the capabilities for processing and analysis of cell biology images. The quality of the quantification results, obtained by analysis of hundreds an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cecdb79460b59afe6d79f6be30b3ce2f
https://doi.org/10.1117/12.2083344
https://doi.org/10.1117/12.2083344
Autor:
Kyungmin Song, Yong-Jun Kwon, Yury Tsoy, Jin Yeop Kim, Thuy Tuong Nguyen, Myungjoo Kang, Michael Adsetts Edberg Hansen
Publikováno v:
Source Code for Biology and Medicine
Background and method Successfully automated sigmoidal curve fitting is highly challenging when applied to large data sets. In this paper, we describe a robust algorithm for fitting sigmoid dose-response curves by estimating four parameters (floor, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4524d57ede0f6703641fba25352953c0
https://doi.org/10.1186/s13029-014-0027-x
https://doi.org/10.1186/s13029-014-0027-x
Autor:
Yury Tsoy
Publikováno v:
IJCNN
Principal Components Analysis (PCA) is one of the most wide-spread methods for dimensionality reduction, which is being applied in many research and problem domains. So far a lot of approaches to compute data matrix eigenvectors, which correspond to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52abbbf191b327598a41cf7d93bac546
https://doi.org/10.1109/ijcnn.2012.6252674
https://doi.org/10.1109/ijcnn.2012.6252674
Autor:
Yury Tsoy, Matthias Dehmer
Publikováno v:
PLoS ONE
PLoS ONE, Vol 9, Iss 10, p e110540 (2014)
PLoS ONE, Vol 9, Iss 10, p e110540 (2014)
In this paper, we investigate the performance of zero bounds due to Kalantari and Dehmer by using special classes of polynomials. Our findings are evidenced by numerical as well as analytical results.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::841c15eeeddd66be0b010cf048cf74cd
https://doi.org/10.1371/journal.pone.0110540
https://doi.org/10.1371/journal.pone.0110540
Autor:
Thuy Tuong Nguyen, Kyungmin Song, Yury Tsoy, Jin Yeop Kim, Yong-Jun Kwon, Myungjoo Kang, Edberg Hansen, Michael Adsetts
Publikováno v:
Source Code for Biology & Medicine; 2014, Vol. 9 Issue 1, p28-44, 17p, 1 Chart, 6 Graphs