Works by Chowdhury, Sangita


Results: 14
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    Patient-specific signaling signatures predict optimal therapeutic combinations for triple negative breast cancer.

    Published in:
    Molecular Cancer, 2024, v. 23, n. 1, p. 1, doi. 10.1186/s12943-023-01921-9
    By:
    • Alkhatib, Heba;
    • Conage-Pough, Jason;
    • Roy Chowdhury, Sangita;
    • Shian, Denen;
    • Zaid, Deema;
    • Rubinstein, Ariel M.;
    • Sonnenblick, Amir;
    • Peretz-Yablonsky, Tamar;
    • Granit, Avital;
    • Carmon, Einat;
    • Kohale, Ishwar N.;
    • Boughey, Judy C.;
    • Goetz, Matthew P.;
    • Wang, Liewei;
    • White, Forest M.;
    • Kravchenko-Balasha, Nataly
    Publication type:
    Article
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    Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance.

    Published in:
    Genome Medicine, 2022, v. 14, n. 1, p. 1, doi. 10.1186/s13073-022-01121-y
    By:
    • Alkhatib, Heba;
    • Rubinstein, Ariel M.;
    • Vasudevan, Swetha;
    • Flashner-Abramson, Efrat;
    • Stefansky, Shira;
    • Chowdhury, Sangita Roy;
    • Oguche, Solomon;
    • Peretz-Yablonsky, Tamar;
    • Granit, Avital;
    • Granot, Zvi;
    • Ben-Porath, Ittai;
    • Sheva, Kim;
    • Feldman, Jon;
    • Cohen, Noa E.;
    • Meirovitz, Amichay;
    • Kravchenko-Balasha, Nataly
    Publication type:
    Article
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