Identification of cancer chemosensitivity by ODE and GMM modeling of heterogeneous cellular response to perturbations in fluorescent sphingolipid metabolism

Tipo de publicación: Conference Paper

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

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

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
  • biomedical optical imaging
  • biosensors
  • BxPC3 cell lines
  • cancer
  • cancer chemosensitivity
  • cell classification
  • cellular biophysics
  • chemotherapy
  • Data models
  • drugs
  • dynamical mathematical model
  • EDO
  • flow cytometry
  • fluorescence
  • fluorescent sphingolipid metabolism
  • Gaussian processes
  • Gaussian-mixture model
  • gemcitabine response sensor
  • glucosyl-ceramide
  • GMM
  • GMM modeling
  • heterogeneous cellular response
  • image features
  • Inhibitors
  • lipid bilayers
  • Mathematical model
  • MiaPaca-4
  • mixture models
  • ODE modeling
  • optical sensors
  • pancreatic cancer
  • pathway dynamics
  • physiological models
  • single cell level
  • Sphingolipids
  • sphingomyelin-synthase
  • tumor
  • tumours

DOI BIBTEXT

Datos bibliográficos
Cita bibliográfica
Identification of cancer chemosensitivity by ODE and GMM modeling of heterogeneous cellular response to perturbations in fluorescent sphingolipid metabolism