Re: Last words from Mario (we hope) on data display
From: Howard Shapiro (h...@shapirolab.com)
Date: Sat Oct 04 1997 - 22:16:13 EST
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I will propose to Cytometry to write a perspective on the topic of FACS data display.
>I challenge any of those of you who
>champion dot plots (or even color dot plots) to join my effort and write a
>"counterpoint" analysis to provide a balancing viewpoint.
A forum with various viewpoints, well documented and illustrated,
would probably be very helpful to the readership.
>Calman writes about dot plots:
>> Furthermore it stresses the single cell nature of the
data- each dot is a cell.
No, no, no, no, no, no, no!
This is precisely the problem!
In dot plots, each
dot can be one cell, two cells, three cells, or a thousand cells. You can
never
know which.
I think what he probably meant was that a dot plot does allow you to
spot
numbers of occurrences below your lowest threshold value for
contouring,
including single occurrences; it is true that if there isn't a dot at
a
point on a dot plot there weren't any cells observed
with the corresponding data values.
I agree with Alice that the precise way of contouring can affect how the more frequent populations appear.
This is why the choice of contouring algorithms is so important!
One of the most robust (in that it is objective, not allowing
"user-defined" contouring levels, etc.) is probability contouring. This method
of contouring has been adopted by SAS Institute for use in their bivariate
displays--in addition, it is offered by several FACS data analysis packages.
>This method of contouring generates displays that are indepedent of the number of events collected --
something that no other display can do.
By "probability contouring" do you mean normalization, so the contour
lines
represent percentile values rather than absolute numbers of cells?
This is a very sensible method of displaying things, and facilitates
comparison of samples of unequal sizes.
In order to deal with rare events, however, you
still have to have dots or their equivalent added to the contour plot.
Thus, using Dot plots or color dot plots or user-defined thresholding,
I can make a variety of
>conclusions about the same sample depending solely on how many events I choose
>to collect (or display)!
>Jim Houston is 100% correct that the precise method of data display is critical.
>I urge reviewers and editors to demand that this information be included
in all
>FACS data displays.
Note, for example, that bivariate chromosome contour plots are
generally made with higher thresholds than plots of immunofluorescence...
and
it wouldn't be a bad idea to include a scale or to indicate which contour
lines represent which percentiles.
Once again, this brings us to the fundamental point of data display: to convey information accurately to the reader.
I highly recommend a book by Edward Tufte, "The Visual Display of Quantitative Information," about this topic (especially to programmers developing analysis packages).
This fabulous book
>shows how misleading different styles of graphs can be, and discusses some of
>the underlying principles of data display--principles largely ignored by
>developers of FACS data analysis programs.
>There was some discussion about art vs. science. Do not mistake artistry for
>disinformation! Of course there is art in science, and in the presentation of
>scientific data.
If not, we would only see tables of numbers that would be
>incomprehensible-- we are, after all, only human.
Tufte actually has three books out; each is a work of art as well as a
work of science.
In the Chapter on Data Analysis in the 3rd Edition of
Practical Flow Cytometry, I suggest that single parameter distributions be
represented using Tufte's minimalist version of the "Box and Whiskers" plot, which
shows the position of the median, 25th and 75th, and 5th and 95th percentile
values (or, alternatively, the full range of the data instead of 5th
and 95th %).
This could readly be extended to a two-dimensional version,
but
might be better represented by different colored (or differently
shaded)
areas than by contour lines.
-Howard
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RE: data display
From: David L. Haviland, Ph.D. (dhavi...@imm2.imm.uth.tmc.edu)
Date: Fri Oct 03 1997 - 15:31:37 EST
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Greetings all:
I have learned a great deal and have enjoyed the discussion concerning
data display, dot vs contour, etc.
To settle a curiosity that I had,
I privately asked M_Roederer this question.
"We know each plot (contour/dot/density) has its benefits and
pitfalls.
However, does anyone know of an instance where a conclusion or part
thereof
has been in serious doubt because a conclusion was drawn off a dot
plot,
when a contour plot would have suggested a different conclusion?"
Frankly, I expected "no" as the respone but was suprised when Mario
stated
there had been a few instances. So my question to the group is
does anyone have such a reference(s) of a flow cytometric "opps"? Were manuscript retractions involved?
Many thanks in advance,
David
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RE: data display
From: Donnenberg, Albert (donnenber...@MSX.UPMC.EDU)
Date: Tue Sep 30 1997 - 15:41:23 EST
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Dot plot or probability plots, what do you do when compensation forces
a significant number of events into the first channel? Dot plots don't
get any blacker than black, some contour algorithms truncate the first
channel of data!
In the 4-color world it is sometimes impossible to keep events out of
the gutter when PMTs are balanced and compensation is optimized.
Albert D. Donnenberg, Ph.D.
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RE: data display
From: Gib Otten (G...@cellgenesys.com)
Date: Tue Sep 30 1997 - 19:32:44 EST
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Somtheing that's been overlooked in this discussion.
While a dot plot by itself may be misleading because of the dot density problem, most
investigators identify regions of interest and indicate the percent cells in those regions. The same should be done, and probably is being done, with contour plots.
Gib Otten, Ph.D.
Senior Scientist, Gene Therapy Applications
Cell Genesys, Inc.
342 Lakeside Drive
Foster City, CA 94404
Tel: (415) 425-4515
email: g...@mail.cellgenesys.com
> ----------
> From: Alice.L.Gi...@dartmouth.edu
> Sent: Monday, September 29, 1997 9:48 AM
> To: Cytometry Mailing List
> Subject: re: data display
> I know that dot plots can be misleading for all the reasons that
Mario Roederer describes ---
BUT I also know that, by choice of the contouring
algorithm, you can make a contour plot look any way you want: shoulders on peaks
can be emphasized or can be made to disappear, double peaks can be made to look like single peaks, etc etc etc.. These problems are not solved by showing the dots that are below the contouring threshold, as they relate to the levels of coutours above the threshold.
Dot plots can be misleading, but contour plots are a can of worms.
OK Mario (and anyone else) -- looking forward to your response!
> Alice
> Alice L. Givan
> Englert Cell Analysis Laboratory
> Dartmouth Medical School
> Lebanon, New Hampshire
> NH 03756 USA
> tel 603-650-7661
> fax 603-650-6130
> e-mail gi...@dartmouth.edu
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