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Connection

Benjamin Bitler to Biomarkers, Tumor

This is a "connection" page, showing publications Benjamin Bitler has written about Biomarkers, Tumor.

 
Connection Strength
 
 
 
0.506
 
  1. Giles BM, Culp-Hill R, Law RA, Nichols CM, Goldberg M, Radnaa E, Wong M, Hansen C, Zapata M, Hill C, Behbakht K, Bitler BG, Crosbie EJ, Barr CE, Jeter A, Fa VS, Guthrie VB, Hagmann LN, Kubota EC, White JR, McElhinny A. Utilizing Serum-Derived Lipidomics with Protein Biomarkers and Machine Learning for Early Detection of Ovarian Cancer in the Symptomatic Population. Cancer Res Commun. 2025 Sep 01; 5(9):1516-1529.
    View in: PubMed
    Score: 0.145
  2. Lin S, Nguyen LL, McMellen A, Leibowitz MS, Davidson N, Spinosa D, Bitler BG. Leveraging Multi-omics to Disentangle the Complexity of Ovarian Cancer. Mol Diagn Ther. 2025 Mar; 29(2):145-151.
    View in: PubMed
    Score: 0.137
  3. Seal S, Wrobel J, Johnson AM, Nemenoff RA, Schenk EL, Bitler BG, Jordan KR, Ghosh D. On clustering for cell-phenotyping in multiplex immunohistochemistry (mIHC) and multiplexed ion beam imaging (MIBI) data. BMC Res Notes. 2022 Jun 20; 15(1):215.
    View in: PubMed
    Score: 0.116
  4. Li H, Bitler BG, Vathipadiekal V, Maradeo ME, Slifker M, Creasy CL, Tummino PJ, Cairns P, Birrer MJ, Zhang R. ALDH1A1 is a novel EZH2 target gene in epithelial ovarian cancer identified by genome-wide approaches. Cancer Prev Res (Phila). 2012 Mar; 5(3):484-91.
    View in: PubMed
    Score: 0.056
  5. Haag JG, Wolsky RJ, Moroney MR, Sheren J, Sheeder J, Bitler BG, Corr BR. Clinicopathologic Evaluation of CTNNB1 Mutations in High-Intermediate Risk Endometrial Endometrioid Carcinoma. Int J Gynecol Pathol. 2023 Jan 01; 42(1):43-53.
    View in: PubMed
    Score: 0.029
  6. Singha B, Harper SL, Goldman AR, Bitler BG, Aird KM, Borowsky ME, Cadungog MG, Liu Q, Zhang R, Jean S, Drapkin R, Speicher DW. CLIC1 and CLIC4 complement CA125 as a diagnostic biomarker panel for all subtypes of epithelial ovarian cancer. Sci Rep. 2018 10 03; 8(1):14725.
    View in: PubMed
    Score: 0.022
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.

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