McClean: Matlab Code for Analyzing FACS Data: Difference between revisions
Line 1: | Line 1: | ||
=Summary= | =Summary= | ||
This is a collection of Matlab functions for plotting | This is a collection of Matlab functions for plotting flow cytometry data. | ||
All of the code requires the function fca_readfcs written by Laszlo Balkay available from the Mathworks file exchange at: [http://www.mathworks.com/matlabcentral/fileexchange/9608 FCS data reader] | All of the code requires the function fca_readfcs written by Laszlo Balkay available from the Mathworks file exchange at: [http://www.mathworks.com/matlabcentral/fileexchange/9608 FCS data reader] | ||
Information about flow cytometry at Princeton can be found at [http://www.molbio1.princeton.edu/facility/flowcyt/ Flow Cytometry Resource Facility] | |||
=Example= | =Example= |
Revision as of 08:59, 22 February 2012
Summary
This is a collection of Matlab functions for plotting flow cytometry data.
All of the code requires the function fca_readfcs written by Laszlo Balkay available from the Mathworks file exchange at: FCS data reader
Information about flow cytometry at Princeton can be found at Flow Cytometry Resource Facility
Example
The following example code is for a series of FACS Example 1: Plotting two errorbar plots with the same x-axis and different y-axis
M1=randn(100,10); M2=randn(100,10); x=linspace(1,10,10); [a,h1,h2]=plotyy(x,M1,x,M2,'EBplotyy','EBplotyy'); set(get(a(1),'Ylabel'),'String','Data 1') set(get(a(2),'Ylabel'),'String','Data 1') set(get(a(2),'Xlabel'),'String','Points') title('Two Errorbar Plots')
Example 2: Plotting one errorbar plot and a non-errorbar plot on the same x-axis with different y axis
M1=randn(100,10); x=linspace(1,10,10); y=2*x; [a,h1,h2]=plotyy(x,M1,x,y,'EBplotyy','plot') set(get(a(1),'YLabel'),'String','Errorbar Plot') set(get(a(2),'YLabel'),'String','Some Other Plot') title('Errorbar Plot and some other Random Plot') set(get(a(1),'XLabel'),'String','Points')
Code
function h=EBplotyy(x,y) %INPUT: %x-independent variable (often Time) %y-dependent variable %OUTPUT: %h-handle of the errorbar graphics object % %Save this code in an m-file named EBplotyy.m s=nanstd(y); h=errorbar(x,nanmedian(y),nanstd(y)); %NOTE: You might want to change nanmedian to nanmean, nanstd to standard error, etc depending on what you want to plot
Notes
Please feel free to post comments, questions, or improvements to this protocol. Happy to have your input!
- Megan N McClean 17:27, 30 January 2012 (EDT): Obviously this is nothing fancy, but the code has come in handy for me a number of times, so I thought I would stick it on the wiki in case it is useful to anyone else in the lab.
References
Mathworks Online Help: plotyy
Matlab Newsreader: Plotyy with errorbar
Contact
- Megan N McClean 14:01, 30 January 2012 (EDT)
or instead, discuss this protocol.