Selected publications in peer-reviewed journals and conferences
Bose, B. & Bozdag, S. Identifying cell lines across pan-cancer to be used in preclinical research as a proxy for patient tumor samples. Commun Biol 7, 1101 (2024). https://doi.org/10.1038/s42003-024-06812-3
Bose, B., Moravec, M. & Bozdag, S. Computing microRNA-gene interaction networks in pan-cancer using miRDriver. Sci Rep 12, 3717 (2022). https://doi.org/10.1038/s41598-022-07628-z
Bose, B. & Bozdag, S. CTDPathSim: Cell line-tumor deconvoluted pathway-based similarity in the context of precision medicine in cancer. in Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics 1–10 (Association for Computing Machinery, New York, NY, USA, 2020). doi:10.1145/3388440.3412456.
Bose, B. & Bozdag, S. MiRDriver: A Tool to Infer Copy Number Derived miRNA-Gene Networks in Cancer. In Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (BCB '19). Association for Computing Machinery, New York, NY, USA, 366–375. https://doi.org/10.1145/3307339.3342172
For more, visit: https://scholar.google.com/citations?user=9jCEXSgAAAAJ&hl=en
Preprints and Manuscripts Under Revision
Bose, B., Stranger, B., & Bozdag, S. A network model for patient-derived drug response in breast cancer integrating multi-omics datasets. bioRxiv 2025.06.09.658757v1.
Bose, B., Bolstein, F., Kim, J., Winters, J., Actkins, K., Mayer, D., Niarchou, M., Congivaram, H., Edwards, D., Davis, L. & Stranger, B. GXwasR: A Toolkit for Investigating Sex-Differentiated Genetic Effects on Complex Traits. medRxiv 2025.06.10.25329327.
Manuscripts Under Submission
Ajibola Opakunle, Banabithi Bose, Barbara E. Stranger, Rong Stephanie Huang, S. Sex-differentiated Germline Genetic Regulation of Multiple Myeloma Risk and Survival.
Freida Blostein, Banabithi Bose, Ky’Era Actkins, Allie Lake, Naomi Freilich, Peter Straub, Barbara Stranger, Lea Davis. Sex differences in the genetic architecture of clinical quantitative traits in the electronic health record.