Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Inyoung Sung"'
Publikováno v:
BMC Bioinformatics, Vol 23, Iss S3, Pp 1-19 (2022)
Abstract Background The widely spreading coronavirus disease (COVID-19) has three major spreading properties: pathogenic mutations, spatial, and temporal propagation patterns. We know the spread of the virus geographically and temporally in terms of
Externí odkaz:
https://doaj.org/article/5d5542b0f6f2427fb1ecfac0898c0b5e
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract Cellular stages of biological processes have been characterized using fluorescence-activated cell sorting and genetic perturbations, charting a limited landscape of cellular states. Time series transcriptome data can help define new cellular
Externí odkaz:
https://doaj.org/article/ebe464cf98454be49c3a2751bd8479cd
Autor:
Sangsoo Lim, Yijingxiu Lu, Chang Yun Cho, Inyoung Sung, Jungwoo Kim, Youngkuk Kim, Sungjoon Park, Sun Kim
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 19, Iss , Pp 1541-1556 (2021)
There has recently been a rapid progress in computational methods for determining protein targets of small molecule drugs, which will be termed as compound protein interaction (CPI). In this review, we comprehensively review topics related to computa
Externí odkaz:
https://doaj.org/article/c02a7507566b4e85af7cec5e7835789f
Publikováno v:
Cancers, Vol 14, Iss 17, p 4120 (2022)
Patient stratification is a clinically important task because it allows us to establish and develop efficient treatment strategies for particular groups of patients. Molecular subtypes have been successfully defined using transcriptomic profiles, and
Externí odkaz:
https://doaj.org/article/d6e7c6cbb61e49fda86f696fb260dbde
Publikováno v:
Journal of KIISE. 49:261-270
Publikováno v:
Briefings in Bioinformatics. 24
Drug response prediction (DRP) is important for precision medicine to predict how a patient would react to a drug before administration. Existing studies take the cell line transcriptome data, and the chemical structure of drugs as input and predict
Publikováno v:
Cancers; Volume 14; Issue 17; Pages: 4120
Patient stratification is a clinically important task because it allows us to establish and develop efficient treatment strategies for particular groups of patients. Molecular subtypes have been successfully defined using transcriptomic profiles, and
Autor:
Sungjoon Park, Yijingxiu Lu, Sangsoo Lim, Young-Kuk Kim, Chang Yun Cho, Sun Kim, Jungwoo Kim, Inyoung Sung
Publikováno v:
Computational and Structural Biotechnology Journal
Computational and Structural Biotechnology Journal, Vol 19, Iss, Pp 1541-1556 (2021)
Computational and Structural Biotechnology Journal, Vol 19, Iss, Pp 1541-1556 (2021)
There has recently been a rapid progress in computational methods for determining protein targets of small molecule drugs, which will be termed as compound protein interaction (CPI). In this review, we comprehensively review topics related to computa
With the advancements of high-throughput sequencing technology, several recent studies addressed the clinical/phenotypic stratification of samples by utilizing transcriptome data. However, existing stratification methods lack efficient utilization of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17d0cf5f3ad751513109e63cfe751481
https://doi.org/10.21203/rs.3.rs-839818/v1
https://doi.org/10.21203/rs.3.rs-839818/v1
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Cellular stages of biological processes have been characterized using fluorescence-activated cell sorting and genetic perturbations, charting a limited landscape of cellular states. Time series transcriptome data can help define new cellular states a