Characterization of heterogeneous response to chemotherapy by perturbation-based modeling of fluorescent sphingolipid metabolism in cancer cell subpopulations

Tipo de publicación: Conference Paper

Publicado en: 2016 IEEE 36th Central American and Panama Convention (CONCAPAN XXXVI)

Autores
  • R. Mora-Rodriguez
  • J. Molina-Mora

Investigadores del CITIC asociados a la publicación
Rodrigo Mora Rodríguez

Proyecto asociado a la publicación
Plataforma biocomputacional de análisis de datos genómicos para superar la resistencia a la terapia contra el cáncer y las infecciones microbianas

Palabras claves
  • biochemistry
  • biological organs
  • biomedical optical imaging
  • biosensors
  • cancer
  • cancer cell subpopulations
  • cancer heterogeneity
  • cancer treatments
  • cell classification
  • cell response
  • cellular biophysics
  • chemosensitive cell line
  • chemosensitivity
  • chemotherapy
  • drug
  • drugs
  • feature extraction
  • flow cytometry
  • fluorescence
  • fluorescent sphingolipid metabolism
  • fluorescent sphingolipid probe
  • Gaussian mixture models
  • Gaussian processes
  • GMM
  • heterogeneous response
  • image classification
  • image features
  • Immune system
  • Inhibitors
  • intratumoral heterogeneity
  • lipid bilayers
  • medical image processing
  • mixture models
  • optical sensors
  • pancreatic cancer
  • perturbation-based modeling
  • physiological models
  • single cell level
  • Sphingolipids
  • Statistics
  • systems biology
  • therapy resistance

DOI BIBTEXT

Datos bibliográficos
Cita bibliográfica
Characterization of heterogeneous response to chemotherapy by perturbation-based modeling of fluorescent sphingolipid metabolism in cancer cell subpopulations