TY - JOUR
T1 - Detecting T cell activation using a varying dimension Bayesian model
AU - Hu, Zicheng
AU - Lancaster, Jessica N.
AU - Ehrlich, Lauren I.R.
AU - Müller, Peter
N1 - Publisher Copyright:
© 2017 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2018/3/12
Y1 - 2018/3/12
N2 - The detection of T cell activation is critical in many immunological assays. However, detecting T cell activation in live tissues remains a challenge due to highly noisy data. We developed a Bayesian probabilistic model to identify T cell activation based on calcium flux, a increase in intracellular calcium concentration that occurs during T cell activation. Because a T cell has unknown number of flux events, the implementation of posterior inference requires trans-dimensional posterior simulation. The model is able to detect calcium flux events at the single cell level from simulated data, as well as from noisy biological data.
AB - The detection of T cell activation is critical in many immunological assays. However, detecting T cell activation in live tissues remains a challenge due to highly noisy data. We developed a Bayesian probabilistic model to identify T cell activation based on calcium flux, a increase in intracellular calcium concentration that occurs during T cell activation. Because a T cell has unknown number of flux events, the implementation of posterior inference requires trans-dimensional posterior simulation. The model is able to detect calcium flux events at the single cell level from simulated data, as well as from noisy biological data.
KW - Bayesian
KW - Indo-1
KW - MCMC
KW - T cell activation
KW - pseudo-prior
KW - two photon microscopy
UR - http://www.scopus.com/inward/record.url?scp=85013137836&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85013137836&partnerID=8YFLogxK
U2 - 10.1080/02664763.2017.1290789
DO - 10.1080/02664763.2017.1290789
M3 - Article
AN - SCOPUS:85013137836
SN - 0266-4763
VL - 45
SP - 697
EP - 713
JO - Journal of Applied Statistics
JF - Journal of Applied Statistics
IS - 4
ER -