Quantifying Intratumor Heterogeneity by Key Genes Selected Using Concrete Autoencoder-Reference-Cited by-同舟云学术

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Quantifying Intratumor Heterogeneity by Key Genes Selected Using Concrete Autoencoder

Published:2023 Issue: Volume: Page:844-852
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Tanvir Raihanul Bari,Ruiz Ricardo,Ebert Samuel,Sobhan Masrur,Al Mamun Abdullah,Mondal Ananda Mohan

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-45170-6_88

Reference25 articles.

1. Jamal-Hanjani, M., Quezada, S.A., Larkin, J., Swanton, C.: Translational implications of tumor heterogeneity. Clin. Cancer Res. 21, 1258–1266 (2015)

2. Qazi, M.A., et al.: Intratumoral heterogeneity: pathways to treatment resistance and relapse in human glioblastoma. Ann. Oncol. 28(7), 1448–1456 (2017). https://doi.org/10.1093/annonc/mdx169

3. Reinartz, R., et al.: Functional Subclone profiling for prediction of treatment-induced intratumor population shifts and discovery of rational drug combinations in human glioblastoma. Clin. Cancer Res. 23(2), 562–574 (2017). https://doi.org/10.1158/1078-0432.CCR-15-2089

4. Grzywa, T.M., Paskal, W., Włodarski, P.K.: Intratumor and intertumor heterogeneity in melanoma. Transl. Oncol. 10(6), 956–975 (2017). https://doi.org/10.1016/j.tranon.2017.09.007

5. Gillies, R.J., Verduzco, D., Gatenby, R.A.: Evolutionary dynamics of carcinogenesis and why targeted therapy does not work. Nat. Rev. Cancer 12(7), 487–493 (2012). https://doi.org/10.1038/nrc3298

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