Sung I - Search Results

1

DGDRP: drug-specific gene selection for drug response prediction via re-ranking through propagating and learning biological network.

Pak M, Bang D, Sung I, Kim S, Lee S. Pak M, et al. Among authors: sung i. Front Genet. 2024 Sep 20;15:1441558. doi: 10.3389/fgene.2024.1441558. eCollection 2024. Front Genet. 2024. PMID: 39371421 Free PMC article.

2

Improved drug response prediction by drug target data integration via network-based profiling.

Pak M, Lee S, Sung I, Koo B, Kim S. Pak M, et al. Among authors: sung i. Brief Bioinform. 2023 Mar 19;24(2):bbad034. doi: 10.1093/bib/bbad034. Brief Bioinform. 2023. PMID: 36752352

3

AutoCoV: tracking the early spread of COVID-19 in terms of the spatial and temporal patterns from embedding space by K-mer based deep learning.

Sung I, Lee S, Pak M, Shin Y, Kim S. Sung I, et al. BMC Bioinformatics. 2022 Apr 25;23(Suppl 3):149. doi: 10.1186/s12859-022-04679-x. BMC Bioinformatics. 2022. PMID: 35468739 Free PMC article.

4

Risk Stratification for Breast Cancer Patient by Simultaneous Learning of Molecular Subtype and Survival Outcome Using Genetic Algorithm-Based Gene Set Selection.

Koo B, Lee D, Lee S, Sung I, Kim S, Lee S. Koo B, et al. Among authors: sung i. Cancers (Basel). 2022 Aug 25;14(17):4120. doi: 10.3390/cancers14174120. Cancers (Basel). 2022. PMID: 36077657 Free PMC article.

5

Cancer subtype classification and modeling by pathway attention and propagation.

Lee S, Lim S, Lee T, Sung I, Kim S. Lee S, et al. Among authors: sung i. Bioinformatics. 2020 Jun 1;36(12):3818-3824. doi: 10.1093/bioinformatics/btaa203. Bioinformatics. 2020. PMID: 32207514

6

A review on compound-protein interaction prediction methods: Data, format, representation and model.

Lim S, Lu Y, Cho CY, Sung I, Kim J, Kim Y, Park S, Kim S. Lim S, et al. Among authors: sung i. Comput Struct Biotechnol J. 2021 Mar 10;19:1541-1556. doi: 10.1016/j.csbj.2021.03.004. eCollection 2021. Comput Struct Biotechnol J. 2021. PMID: 33841755 Free PMC article. Review.

7

Inferring transcriptomic cell states and transitions only from time series transcriptome data.

Jo K, Sung I, Lee D, Jang H, Kim S. Jo K, et al. Among authors: sung i. Sci Rep. 2021 Jun 15;11(1):12566. doi: 10.1038/s41598-021-91752-9. Sci Rep. 2021. PMID: 34131182 Free PMC article.

8

The efficacy of i-SCAN for detecting reflux esophagitis: a prospective randomized controlled trial.

Kang HS, Hong SN, Kim YS, Park HS, Kim BK, Lee JH, Kim SI, Lee TY, Kim JH, Lee SY, Sung IK, Shim CS. Kang HS, et al. Among authors: sung ik. Dis Esophagus. 2013 Feb-Mar;26(2):204-11. doi: 10.1111/j.1442-2050.2012.01427.x. Dis Esophagus. 2013. PMID: 23009249 Clinical Trial.

9

Cell population data in neonates: differences by age group and associations with perinatal factors.

Lee J, Kim SY, Lee W, Han K, Sung IK. Lee J, et al. Among authors: sung ik. Int J Lab Hematol. 2015 Oct;37(5):606-12. doi: 10.1111/ijlh.12366. Epub 2015 May 5. Int J Lab Hematol. 2015. PMID: 25944264

10

Identification of Conserved Gene-Regulatory Networks that Integrate Environmental Sensing and Growth in the Root Cambium.

Hoang NV, Choe G, Zheng Y, Aliaga Fandino AC, Sung I, Hur J, Kamran M, Park C, Kim H, Ahn H, Kim S, Fei Z, Lee JY. Hoang NV, et al. Among authors: sung i. Curr Biol. 2020 Aug 3;30(15):2887-2900.e7. doi: 10.1016/j.cub.2020.05.046. Epub 2020 Jun 11. Curr Biol. 2020. PMID: 32531282 Free article.

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