Title :
Analysis of signaling pathways in human T-cells using Bayesian network modeling of single cell data
Author :
Sachs, Karen ; Perez, Omar D. ; Pe´er, Dana ; Nolan, Garry P. ; Gifford, David K. ; Jaakkola, Tommi S. ; Lauffenburger, Douglas A.
Author_Institution :
Biol. Eng. Div., MIT, Cambridge, MA, USA
Abstract :
We perform network inference (´reverse-engineering´) on phospho-specific multi-dimensional flow cytometry measurements of signaling molecules in human T cells using Bayesian networks. Inferred networks are found to have good agreement with known pathways derived from the literature.
Keywords :
belief networks; biology computing; cellular biophysics; inference mechanisms; molecular biophysics; reverse engineering; Bayesian network; human T-cells; network inference; phospho-specific multidimensional flow cytometry measurements; reverse-engineering; signaling molecules; signaling pathways; single cell data; Bayesian methods; Biological system modeling; Chemical technology; Fluid flow measurement; Genetics; Humans; Intelligent networks; Laboratories; Molecular biophysics; Signal analysis;
Conference_Titel :
Computational Systems Bioinformatics Conference, 2004. CSB 2004. Proceedings. 2004 IEEE
Print_ISBN :
0-7695-2194-0
DOI :
10.1109/CSB.2004.1332529
