A Markov Random Fields Approach to the Gating of Flow Cytometry Data

Royal Statistical Society Conference Prize winning session

Transcript

1. A U T O M A T E D G A T I N G O F F L O W C Y T O M E T R Y D A T A V I A M A R K O V R A N D O M F I E L D S K e v i n B r o s n a n , U n i v e r s i t y o f L i m e r i c k
2. P R E S E N T A T I O N O U T L I N E Flow Cytometry Existing methods Markov Random Fields Cluster Identification Results Further Work
3. F L O W C Y T O M E T R Y …
4. W h a t i s f l o w c y t o m e t r y ? Flow Cyto metry
5. D a t a S t o r a g e …
6. F l o w C y t o m e t r y D a t a …
7. E X I S T I N G M E T H O D S …
8. I n d u s t r y S t a n d a r d … Expert 2 Expert 1
9. M o d e l B a s e d C l u s t e r i n g …
10. t - d i s t r i b u t i o n M i x t u r e s …
11. M A R K O V R A N D O M F I E L D S …
13. I D E N T I F Y I N G C L U S T E R S …
14. Connected Components Labelling…
15. R E S U L T S …
16. Original Segmentation Probability Map Area Area Granularity
17. F U R T H E R W O R K …
19. T H A N K S F O R L I S T E N I N G ! A N Y Q U E S T I O N S ?