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Latent class analysis of psychotic-affective disorders with data-driven plasma proteomics.
Rhee SJ, Shin D, Shin D, Song Y, Joo EJ, Jung HY, Roh S, Lee SH, Kim H, Bang M, Lee KY, Kim SH, Kim M, Lee J, Kim J, Kim Y, Kwon JS, Ha K, Kim Y, Ahn YM. Rhee SJ, et al. Among authors: lee sh, lee j, lee ky. Transl Psychiatry. 2023 Feb 6;13(1):44. doi: 10.1038/s41398-023-02321-9. Transl Psychiatry. 2023. PMID: 36746927 Free PMC article.
Quantitative Proteomic Approach for Discriminating Major Depressive Disorder and Bipolar Disorder by Multiple Reaction Monitoring-Mass Spectrometry.
Shin D, Rhee SJ, Lee J, Yeo I, Do M, Joo EJ, Jung HY, Roh S, Lee SH, Kim H, Bang M, Lee KY, Kwon JS, Ha K, Ahn YM, Kim Y. Shin D, et al. Among authors: lee sh, lee j, lee ky. J Proteome Res. 2021 Jun 4;20(6):3188-3203. doi: 10.1021/acs.jproteome.1c00058. Epub 2021 May 7. J Proteome Res. 2021. PMID: 33960196
Integrating proteomic and clinical data to discriminate major psychiatric disorders: Applications for major depressive disorder, bipolar disorder, and schizophrenia.
Shin D, Rhee SJ, Shin D, Joo EJ, Jung HY, Roh S, Lee SH, Kim H, Bang M, Lee KY, Kim SH, Lee J, Kim Y, Yeo I, Kim Y, Kim J, Kwon JS, Ha K, Ahn YM, Kim Y. Shin D, et al. Among authors: lee sh, lee j, lee ky. Clin Transl Med. 2022 Jun;12(6):e929. doi: 10.1002/ctm2.929. Clin Transl Med. 2022. PMID: 35758551 Free PMC article. No abstract available.
Network analysis of plasma proteomes in affective disorders.
Rhee SJ, Shin D, Shin D, Song Y, Joo EJ, Jung HY, Roh S, Lee SH, Kim H, Bang M, Lee KY, Lee J, Kim J, Kim Y, Kim Y, Ahn YM. Rhee SJ, et al. Among authors: lee sh, lee j, lee ky. Transl Psychiatry. 2023 Jun 9;13(1):195. doi: 10.1038/s41398-023-02485-4. Transl Psychiatry. 2023. PMID: 37296094 Free PMC article.
141,957 results
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