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Frequency-independent biological signal identification (FIBSI): A free program that simplifies intensive analysis of non-stationary time series data
Ryan M. Cassidy, View ORCID ProfileAlexis G. Bavencoffe, View ORCID ProfileElia R. Lopez, Sai S. Cheruvu, Edgar T. Walters, View ORCID ProfileRosa A. Uribe, View ORCID ProfileAnne Marie Krachler, View ORCID ProfileMax A. Odem
doi: https://doi.org/10.1101/2020.05.29.123042
Ryan M. Cassidy
1Medical Scientist Training Program, M.D. Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX 77030, USA
Alexis G. Bavencoffe
2Department of Integrative Biology and Pharmacology, McGovern Medical School at UTHealth, Houston, TX 77030, USA
Elia R. Lopez
2Department of Integrative Biology and Pharmacology, McGovern Medical School at UTHealth, Houston, TX 77030, USA
Sai S. Cheruvu
2Department of Integrative Biology and Pharmacology, McGovern Medical School at UTHealth, Houston, TX 77030, USA
Edgar T. Walters
2Department of Integrative Biology and Pharmacology, McGovern Medical School at UTHealth, Houston, TX 77030, USA
Rosa A. Uribe
3Department of Biosciences, Rice University, Houston, TX, USA
Anne Marie Krachler
4Department of Microbiology and Molecular Genetics, McGovern Medical School at UTHealth, Houston, TX 77030, USA
Max A. Odem
4Department of Microbiology and Molecular Genetics, McGovern Medical School at UTHealth, Houston, TX 77030, USA
Posted June 11, 2020.
Frequency-independent biological signal identification (FIBSI): A free program that simplifies intensive analysis of non-stationary time series data
Ryan M. Cassidy, Alexis G. Bavencoffe, Elia R. Lopez, Sai S. Cheruvu, Edgar T. Walters, Rosa A. Uribe, Anne Marie Krachler, Max A. Odem
bioRxiv 2020.05.29.123042; doi: https://doi.org/10.1101/2020.05.29.123042
Frequency-independent biological signal identification (FIBSI): A free program that simplifies intensive analysis of non-stationary time series data
Ryan M. Cassidy, Alexis G. Bavencoffe, Elia R. Lopez, Sai S. Cheruvu, Edgar T. Walters, Rosa A. Uribe, Anne Marie Krachler, Max A. Odem
bioRxiv 2020.05.29.123042; doi: https://doi.org/10.1101/2020.05.29.123042
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