Daniel Ruderman, PhD

University of Southern California, Los Angeles, CA, United States

grad student

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Patsch K, Matasci N, Soundararajan A, et al. (2019) Monitoring dynamic cytotoxic chemotherapy response in castration-resistant prostate cancer using plasma cell-free DNA (cfDNA). Bmc Research Notes. 12: 275
Patsch K, Mumenthaler SM, Ruderman D. (2018) Image-Based Tracking of Heterogeneous Single-Cell Phenotypes. Methods in Molecular Biology (Clifton, N.J.). 1745: 47-63
Patsch K, Soundararajan A, Engeln M, et al. (2017) Abstract A29: Heterogeneity of androgen receptor dynamics and drug response in prostate cancer cells Cancer Research. 77
Shah PP, Patsch K, Matasci N, et al. (2017) Abstract 3731: A novel multidimensional cfDNA assay for real time analysis of chemotherapy response Cancer Research. 77: 3731-3731
Patsch K, Chiu CL, Engeln M, et al. (2016) Single cell dynamic phenotyping. Scientific Reports. 6: 34785
Chambers MC, Maclean B, Burke R, et al. (2012) A cross-platform toolkit for mass spectrometry and proteomics. Nature Biotechnology. 30: 918-20
Ruderman DL, Bialek W. (1994) Statistics of natural images: Scaling in the woods. Physical Review Letters. 73: 814-817
Ruderman DL, Bialek W. (1992) Seeing Beyond the Nyquist Limit Neural Computation. 4: 682-690