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1A multivariate model of ErbB network composition predicts ovarian cancer cell response to canertinib
المؤلفون: Pamela K. Kreeger, Rexxi D. Prasasya, Kang Z. Vang
المصدر: Biotechnology and Bioengineering. 109:213-224
مصطلحات موضوعية: endocrine system diseases, Morpholines, Systems biology, medicine.medical_treatment, Antineoplastic Agents, Bioengineering, Biology, Bioinformatics, Models, Biological, Applied Microbiology and Biotechnology, Article, Targeted therapy, chemistry.chemical_compound, ErbB Receptors, ErbB, medicine, Humans, Autocrine signalling, Ovarian Neoplasms, Models, Statistical, Canertinib, Systems Biology, Cancer, medicine.disease, chemistry, Cancer research, Female, Ovarian cancer, Biotechnology
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5259ce82ecdc0da26e4fb14ff453b0d7Test
https://doi.org/10.1002/bit.23297Test -
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المؤلفون: Rexxi D. Prasasya, Pamela K. Kreeger, Dan Tian
المصدر: Seminars in Cancer Biology. 21:200-206
مصطلحات موضوعية: Cancer Research, Systems Biology, Systems biology, Cancer therapy, Cancer, Cancer signaling, Disease, Computational biology, Biology, medicine.disease, Bioinformatics, Signaling network, medicine, Humans, Beneficial effects, Signal Transduction
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13e7ec45af6b0ebf86a0ae4065a9b8bdTest
https://doi.org/10.1016/j.semcancer.2011.04.001Test