Search Results - "Paek, Eunok"

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  1. 1
    Demystifying PTM Identification Using MODplus: Best Practices and Pitfalls

    Demystifying PTM Identification Using MODplus: Best Practices and Pitfalls

    Na, SeungjinAff3, Paek, EunokAff4, Aff5, Aff6

    Lisacek, FrédériqueAff2, Walker, John M.Aff1

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  2. 2
    NovoRank: Refinement for De Novo Peptide Sequencing Based on Spectral Clustering and Deep Learning

    NovoRank: Refinement for De Novo Peptide Sequencing Based on Spectral Clustering and Deep Learning

    Seo, Janghoaff1, Choi, Seunghyukaff2, Paek, Eunokaff1, aff2

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  3. 3
    CyGate Provides a Robust Solution for Automatic Gating of Single Cell Cytometry Data

    CyGate Provides a Robust Solution for Automatic Gating of Single Cell Cytometry Data

    Na, Seungjinaff1, aff2, Choo, Yujinaff3, Yoon, Tae Hyunaff4, aff5, aff6, Paek, Eunokaff1, aff2, aff3

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  4. 4
    DbyDeep: Exploration of MS-Detectable Peptides via Deep Learning

    DbyDeep: Exploration of MS-Detectable Peptides via Deep Learning

    Son, Juhoaff1, Na, Seungjinaff1, aff2, Paek, Eunokaff1, aff2

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  5. 5
    Proteogenomic analysis reveals non-small cell lung cancer subtypes predicting chromosome instability, and tumor microenvironment

    Proteogenomic analysis reveals non-small cell lung cancer subtypes predicting chromosome instability, and tumor microenvironment

    Song, Kyu JinAff1, Aff2, Choi, Seunghyuk, Kim, KwoneelAff4, Aff5, Hwang, Hee Sang, Chang, EunhyongAff7, Aff8, Park, Ji Soo, Shim, Seok Bo, Choi, Seunghwan, Heo, Yong Jin, An, Woo JuAff1, Aff2, Yang, Dae Yeol, Cho, Kyung-ChoAff1, Aff2, Ji, Wonjun, Choi, Chang-MinAff10, Aff11, Lee, Jae Cheol, Kim, Hyeong-ryul, Yoo, Jiyoung, Ahn, Hee-Sung, Lee, Gang-HeeAff7, Aff8, Hwa, ChanwoongAff7, Aff8, Kim, SeoyeonAff7, Aff8, Kim, KyunggonAff13, Aff14, Aff15, Kim, Min-SikAff16, Aff17, Aff18, Paek, EunokAff3, Aff19, Aff20, Na, SeungjinAff3, Aff21, Jang, Se JinAff6, Aff22, An, Joon-YongAff7, Aff8, Aff9, Kim, Kwang PyoAff1, Aff2, IDs41467024544344_cor28

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  6. 6
    pXg: Comprehensive Identification of Noncanonical MHC-I–Associated Peptides From De Novo Peptide Sequencing Using RNA-Seq Reads

    pXg: Comprehensive Identification of Noncanonical MHC-I–Associated Peptides From De Novo Peptide Sequencing Using RNA-Seq Reads

    Choi, Seunghyuk, Paek, Eunok

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  7. 7
    Proteogenomic Approach to UTR Peptide Identification

    Proteogenomic Approach to UTR Peptide Identification

    Choi, Seunghyukaff1d1, Ju, Shinyeongaff1d2, aff2, Lee, Jinwonaff1d1, Na, Seungjinaff1d1, Lee, Cheoljuaff2, aff3, aff4, Paek, Eunokaff1d1

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  8. 8
    MODplus: Robust and Unrestrictive Identification of Post-Translational Modifications Using Mass Spectrometry

    MODplus: Robust and Unrestrictive Identification of Post-Translational Modifications Using Mass Spectrometry

    Na, Seungjin, Kim, Jihyung, Paek, Eunok

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  9. 9

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  10. 10
    Common Repository of FBS Proteins (cRFP) To Be Added to a Search Database for Mass Spectrometric Analysis of Cell Secretome

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

    Shin, Jihyeaff1, aff2, Kwon, Yumiaff1, aff3, Lee, Seonjeongaff1, aff4, Na, Seungjinaff5, Hong, Eun Youngaff1, Ju, Shinyeongaff1, aff3, Jung, Hyun-Gyoaff1, aff4, Kaushal, Prashantaff1, aff4, Shin, Sunghoaff1, aff6, Back, Ji Hyunaff1, aff7, Choi, Seon Youngaff8, aff9, Kim, Eun Heeaff9, Lee, Su Jinaff1, aff10, Park, Yae Eunaff1, aff11, Ahn, Hee-Sungaff12, Ahn, Youngheeaff13, Kabir, Mohammad Humayunaff14, Park, Seong-Junaff15, Yang, Won Sukaff16, Yeom, Jeonghunaff17, Bang, Oh Youngaff18, Ha, Chul-Wonaff19, aff8, aff9, Lee, Jin-Wonaff3, Kang, Un-Beomaff20, Kim, Hye-Jungaff21, Park, Kang-Sikaff6, aff22, Lee, J. Eugeneaff23, Lee, Ji Eunaff1, Kim, Jin Youngaff24, Kim, Kwang Pyoaff25, aff26, Kim, Youngsooaff27, Hirano, Hisashiaff2, Yi, Eugene C.aff28, Cho, Je-Yoelaff29, Paek, Eunokaff5, Lee, Cheoljuaff1, aff4, aff6

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  11. 11
    Proteogenomic landscape of human pancreatic ductal adenocarcinoma in an Asian population reveals tumor cell-enriched and immune-rich subtypes

    Proteogenomic landscape of human pancreatic ductal adenocarcinoma in an Asian population reveals tumor cell-enriched and immune-rich subtypes

    Hyeon, Do Young, Nam, Dowoon, Han, Youngmin, Kim, Duk KiAff4, Aff5, Kim, GibeomAff1, Aff6, Kim, Daeun, Bae, Jingi, Back, Seunghoon, Mun, Dong-Gi, Madar, Inamul Hasan, Lee, Hangyeore, Kim, Su-Jin, Kim, Hokeun, Hyun, Sangyeop, Kim, Chang RokAff1, Aff6, Choi, Seon AhAff1, Aff6, Kim, Yong RyoulAff1, Aff6, Jeong, Juhee, Jeon, Suwan, Choo, Yeon Woong, Lee, Kyung Bun, Kwon, Wooil, Choi, Seunghyuk, Goo, Taewan, Park, Taesung, Suh, Young-Ah, Kim, Hongbeom, Ku, Ja-Lok, Kim, Min-Sik, Paek, Eunok, Park, DaechanAff7, IDs43018022004797_cor31, Jung, KeehoonAff4, Aff14, IDs43018022004797_cor32, Baek, Sung HeeAff1, Aff6, IDs43018022004797_cor33, Jang, Jin-YoungAff3, IDs43018022004797_cor34, Hwang, DaeheeAff1, IDs43018022004797_cor35, Lee, Sang-WonAff2, IDs43018022004797_cor36

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  12. 12
    Data-Dependent Scoring Parameter Optimization in MS-GF+ Using Spectrum Quality Filter

    Data-Dependent Scoring Parameter Optimization in MS-GF+ Using Spectrum Quality Filter

    Jo, Hyunjin, Paek, Eunok

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  13. 13
    Systematic Comparison of False-Discovery-Rate-Controlling Strategies for Proteogenomic Search Using Spike-in Experiments

    Systematic Comparison of False-Discovery-Rate-Controlling Strategies for Proteogenomic Search Using Spike-in Experiments

    Li, Honglanaff1, Park, Jonghunaff2, Kim, Hyunwooaff3, Hwang, Kyu-Baekaff1, Paek, Eunokaff2

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  14. 14

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  15. 15
    NextSearch: A Search Engine for Mass Spectrometry Data against a Compact Nucleotide Exon Graph

    NextSearch: A Search Engine for Mass Spectrometry Data against a Compact Nucleotide Exon Graph

    Kim, Hyunwooaff1d1, Park, Heejinaff1d2, Paek, Eunokaff1d2

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  16. 16
    Hypoxia increases methylated histones to prevent histone clipping and heterochromatin redistribution during Raf-induced senescence.

    Hypoxia increases methylated histones to prevent histone clipping and heterochromatin redistribution during Raf-induced senescence.

    Chang, Soojeong, Moon, Ramhee, Nam, Dowoon, Lee, Sang-Won, Yoon, Insoo, Lee, Dong-Sung, Choi, Seunghyuk, Paek, Eunok, Hwang, Daehee, Hur, Junho K, Nam, Youhyun, Chang, Rakwoo, Park, Hyunsung

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  17. 17
    NovoRank: Refinement for De Novo Peptide Sequencing Based on Spectral Clustering and Deep Learning.

    NovoRank: Refinement for De Novo Peptide Sequencing Based on Spectral Clustering and Deep Learning.

    Seo, Jangho1 (AUTHOR), Choi, Seunghyuk2 (AUTHOR) ok30010@hanyang.ac.kr, Paek, Eunok1,2 (AUTHOR) eunokpaek@hanyang.ac.kr

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  18. 18
    TIDD: tool-independent and data-dependent machine learning for peptide identification

    TIDD: tool-independent and data-dependent machine learning for peptide identification

    Li, Honglan, Na, Seungjin, Hwang, Kyu-Baek, Paek, EunokAff1, IDs1285902204640y_cor4

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  19. 19
    Estimating Influence of Cofragmentation on Peptide Quantification and Identification in iTRAQ Experiments by Simulating Multiplexed Spectra

    Estimating Influence of Cofragmentation on Peptide Quantification and Identification in iTRAQ Experiments by Simulating Multiplexed Spectra

    Li, Honglanaff1, Hwang, Kyu-Baekaff1, Mun, Dong-Giaff2, Kim, Hokeunaff2, Lee, Hangyeoreaff2, Lee, Sang-Wonaff2, Paek, Eunokaff3

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  20. 20
    Monoisotopic Mass Determination Algorithm for Selenocysteine-Containing Polypeptides from Mass Spectrometric Data Based on Theoretical Modeling of Isotopic Peak Intensity Ratios

    Monoisotopic Mass Determination Algorithm for Selenocysteine-Containing Polypeptides from Mass Spectrometric Data Based on Theoretical Modeling of Isotopic Peak Intensity Ratios

    Kim, Jin Wookaff1, Lee, Sunhoaff2, Park, Kunsooaff2, Na, Seungjinaff3, Paek, Eunokaff3, Park, Hyung Seoaff3, Park, Heejinaff3, Lee, Kong-Jooaff4, Jeong, Jaehoaff4, Kim, Hwa-Youngaff5

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