Classifying contaminated cell cultures using time series features

Article Properties
  • Language
    English
  • Publication Date
    2023/08/22
  • Indian UGC (journal)
  • Refrences
    33
  • Laura L. Tupper Mount Holyoke College, South Hadley, MA, USA
  • Charles R. Keese Applied BioPhysics Inc., Troy, NY, USA
  • David S. Matteson Cornell University, Ithaca, NY, USA
Cite
Tupper, Laura L., et al. “Classifying Contaminated Cell Cultures Using Time Series Features”. Journal of Applied Statistics, vol. 51, no. 6, 2023, pp. 1210-26, https://doi.org/10.1080/02664763.2023.2248413.
Tupper, L. L., Keese, C. R., & Matteson, D. S. (2023). Classifying contaminated cell cultures using time series features. Journal of Applied Statistics, 51(6), 1210-1226. https://doi.org/10.1080/02664763.2023.2248413
Tupper, Laura L., Charles R. Keese, and David S. Matteson. “Classifying Contaminated Cell Cultures Using Time Series Features”. Journal of Applied Statistics 51, no. 6 (2023): 1210-26. https://doi.org/10.1080/02664763.2023.2248413.
Tupper LL, Keese CR, Matteson DS. Classifying contaminated cell cultures using time series features. Journal of Applied Statistics. 2023;51(6):1210-26.
Refrences
Title Journal Journal Categories Citations Publication Date
Multivariate analysis in vector time series Resenhas do Instituto de Matemática e Estatística da Universidade de São Paulo 2000
Cell phenotype classification using multi threshold uniform local ternary patterns in fluorescence microscope images Multimedia Tools and Applications
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
17 2021
10.2144/04364RR01
10.3233/IDA-1997-1302
Autocorrelation-based fuzzy clustering of time series Fuzzy Sets and Systems
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
101 2009