Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Kyu-Baek Hwang"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Machine learning-based pathogenicity prediction helps interpret rare missense variants of BRCA1 and BRCA2, which are associated with hereditary cancers. Recent studies have shown that classifiers trained using variants of a specific gene or
Externí odkaz:
https://doaj.org/article/400b34d8a6da49a2865f55b359adc0c7
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-12 (2022)
Abstract Background In shotgun proteomics, database search engines have been developed to assign peptides to tandem mass (MS/MS) spectra and at the same time post-processing (or rescoring) approaches over the search results have been proposed to incr
Externí odkaz:
https://doaj.org/article/3ffd73c5bd50469a9fa7839ba61ec5f7
Autor:
Misuk Kim, Kyu-Baek Hwang
Publikováno v:
PLoS ONE, Vol 17, Iss 7, p e0271260 (2022)
In numerous classification problems, class distribution is not balanced. For example, positive examples are rare in the fields of disease diagnosis and credit card fraud detection. General machine learning methods are known to be suboptimal for such
Externí odkaz:
https://doaj.org/article/0b04b1bfef2c4743838a586aabebe6e6
Publikováno v:
Biomedicines, Vol 10, Iss 6, p 1406 (2022)
DNA methylation modification plays a vital role in the pathophysiology of high blood pressure (BP). Herein, we applied three machine learning (ML) algorithms including deep learning (DL), support vector machine, and random forest for detecting high B
Externí odkaz:
https://doaj.org/article/0a866dc7c9d145dda26e835070bfb40e
Publikováno v:
BMB Reports, Vol 46, Iss 1, Pp 41-46 (2013)
Identifying genes indispensable for an organism‘s life and theircharacteristics is one of the central questions in currentbiological research, and hence it would be helpful to developcomputational approaches towards the prediction of essentialgenes
Externí odkaz:
https://doaj.org/article/feb26e9aa3e84489be12b035cf5542f2
Autor:
Hee-Jung Kim, Hye Joon Joo, Yung Hee Kim, Soyeon Ahn, Jun Chang, Kyu-Baek Hwang, Dong-Hee Lee, Kong-Joo Lee
Publikováno v:
PLoS ONE, Vol 6, Iss 6, p e20252 (2011)
The molecular basis of heat shock response (HSR), a cellular defense mechanism against various stresses, is not well understood. In this, the first comprehensive analysis of gene expression changes in response to heat shock and MG132 (a proteasome in
Externí odkaz:
https://doaj.org/article/714d33be46e54bd58877f9de96d0dd83
Autor:
Da-Bin Lee, Kyu-Baek Hwang
Publikováno v:
KIISE Transactions on Computing Practices. 26:373-377
Publikováno v:
BMC bioinformatics. 23(1)
Background In shotgun proteomics, database search engines have been developed to assign peptides to tandem mass (MS/MS) spectra and at the same time post-processing (or rescoring) approaches over the search results have been proposed to increase the
Autor:
Dhong-Geon Won, Sek Won Kong, Honglan Li, Carles Hernandez-Ferrer, In-Hee Lee, Kyu-Baek Hwang, Jose A. Negron
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-10 (2019)
Scientific Reports
Scientific Reports
Comprehensive and accurate detection of variants from whole-genome sequencing (WGS) is a strong prerequisite for translational genomic medicine; however, low concordance between analytic pipelines is an outstanding challenge. We processed a European
Publikováno v:
KIISE Transactions on Computing Practices. 22:56-60
탠덤 질량 분석에서는 신뢰도 높은 펩타이드 동정을 위해 목표 데이터베이스의 참조 단백질 순서를 재배치한 디코이 데이터베이스가 주로 이용된다. 한편 목표 데이터베이스와 디코이 데