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Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Wen-Yee Lee and Xiaogang Su.
Connection Strength

1.487
  1. Badmos S, Noriega Landa E, Holbrook KL, Quaye GE, Su X, Lee WY. Urinary Metabolome Study for Monitoring Prostate Cancer Recurrence Following Radical Prostatectomy. Cancers (Basel). 2025 Aug 24; 17(17).
    View in: PubMed
    Score: 0.241
  2. Holbrook KL, Quaye GE, Noriega Landa E, Su X, Gao Q, Williams H, Young R, Badmos S, Habib A, Chacon AA, Lee WY. Detection and Validation of Organic Metabolites in Urine for Clear Cell Renal Cell Carcinoma Diagnosis. Metabolites. 2024 Oct 13; 14(10).
    View in: PubMed
    Score: 0.227
  3. Quaye GE, Lee WY, Noriega Landa E, Badmos S, Holbrook KL, Su X. Urinary volatile organic compounds (VOCs) based prostate cancer diagnosis via high-dimensional classification. J Appl Stat. 2024; 51(16):3468-3485.
    View in: PubMed
    Score: 0.220
  4. Noriega Landa E, Quaye GE, Su X, Badmos S, Holbrook KL, Polascik TJ, Adams ES, Deivasigamani S, Gao Q, Annabi MH, Habib A, Lee WY. Urinary fatty acid biomarkers for prostate cancer detection. PLoS One. 2024; 19(2):e0297615.
    View in: PubMed
    Score: 0.217
  5. Badmos S, Noriega-Landa E, Holbrook KL, Quaye GE, Su X, Gao Q, Chacon AA, Adams E, Polascik TJ, Feldman AS, Annabi MM, Lee WY. Urinary volatile organic compounds in prostate cancer biopsy pathologic risk stratification using logistic regression and multivariate analysis models. Am J Cancer Res. 2024; 14(1):192-209.
    View in: PubMed
    Score: 0.215
  6. Holbrook KL, Badmos S, Habib A, Landa EN, Quaye GE, Pokojovy M, Su X, Lee WY. Investigating the effects of storage conditions on urinary volatilomes for their reliability in disease diagnosis. Am J Clin Exp Urol. 2023; 11(6):481-499.
    View in: PubMed
    Score: 0.214
  7. Gao Q, Su X, Annabi MH, Schreiter BR, Prince T, Ackerman A, Morgas S, Mata V, Williams H, Lee WY. Application of Urinary Volatile Organic Compounds (VOCs) for the Diagnosis of Prostate Cancer. Clin Genitourin Cancer. 2019 06; 17(3):183-190.
    View in: PubMed
    Score: 0.153
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
RCMI CC is supported by the National Institute on Minority Health and Health Disparities, National Institutes of Health (NIH), through Grant Number U24MD015970. The contents of this site are solely the responsibility of the authors and do not necessarily represent the official views of the NIH

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