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Fingerprint Dive into the research topics where Youngsoo Kim is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Research Output

Identification of TUBB2A by quantitative proteomic analysis as a novel biomarker for the prediction of distant metastatic breast cancer

Shin, D., Park, J., Han, D., Moon, J. H., Ryu, H. S. & Kim, Y., 24 May 2020, In : Clinical Proteomics. 17, 1, 16.

Research output: Contribution to journalArticle

Open Access
  • Moesin (MSN) as a novel proteome-based diagnostic marker for early detection of invasive bladder urothelial carcinoma in liquid-based cytology

    Hwan Park, J., Lee, C., Han, D., Seok Lee, J., Min Lee, K., Ji Song, M., Kim, K., Lee, H., Chul Moon, K., Kim, Y., Jung, M., Hye Moon, J., Lee, H. & Suk Ryu, H., 21 Apr 2020, In : Cancers. 12, 4, 1018.

    Research output: Contribution to journalArticle

    Open Access
  • Deep proteome profiling of the hippocampus in the 5XFAD mouse model reveals biological process alterations and a novel biomarker of Alzheimer’s disease

    Kim, D. K., Han, D., Park, J., Choi, H., Park, J. C., Cha, M. Y., Woo, J., Byun, M. S., Lee, D. Y., Kim, Y. & Mook-Jung, I., 1 Nov 2019, In : Experimental and Molecular Medicine. 51, 11, 136.

    Research output: Contribution to journalArticle

  • 3 Scopus citations

    Common Repository of FBS Proteins (cRFP) to Be Added to a Search Database for Mass Spectrometric Analysis of Cell Secretome

    Shin, J., Kwon, Y., Lee, S., Na, S., Hong, E. Y., Ju, S., Jung, H. G., Kaushal, P., Shin, S., Back, J. H., Choi, S. Y., Kim, E. H., Lee, S. J., Park, Y. E., Ahn, H. S., Ahn, Y., Kabir, M. H., Park, S. J., Yang, W. S., Yeom, J. & 16 others, Bang, O. Y., Ha, C. W., Lee, J. W., Kang, U. B., Kim, H. J., Park, K. S., Lee, J. E., Lee, J. E., Kim, J. Y., Kim, K. P., Kim, Y., Hirano, H., Yi, E. C., Cho, J. Y., Paek, E. & Lee, C., 4 Oct 2019, In : Journal of Proteome Research. 18, 10, p. 3800-3806 7 p.

    Research output: Contribution to journalArticle

  • Clinically Applicable Deep Learning Algorithm Using Quantitative Proteomic Data

    Kim, H., Kim, Y., Han, B., Jang, J. Y. & Kim, Y., 2 Aug 2019, In : Journal of Proteome Research. 18, 8, p. 3195-3202 8 p.

    Research output: Contribution to journalArticle

  • 2 Scopus citations