000 02441nam a22003498i 4500
001 CR9780511600357
003 UkCbUP
005 20200124160332.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 090722s1992||||enk o ||1 0|eng|d
020 _a9780511600357 (ebook)
020 _z9780521415453 (hardback)
020 _z9780521019705 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aQH324.9.F38
_bW37 1992
082 0 0 _a574.87/028
_220
100 1 _aWatson, James V.,
_eauthor.
245 1 0 _aFlow cytometry data analysis :
_bbasic concepts and statistics /
_cJames V. Watson.
264 1 _aCambridge :
_bCambridge University Press,
_c1992.
300 _a1 online resource (viii, 288 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520 _aFlow cytometry is now well established in research laboratories and is gaining increasing use in clinical medicine and pathology. The technique enables multiple simultaneous light scatter and fluorescence measurements to be made at the individual cell level at very rapid rates and results in very large quantities of data being collected. Data, however, is just a series of numbers which have to be converted to information which, in turn, must be shown to have meaning. This is the most important single aspect of flow cytometry but it has received relatively little attention. One of the frequently voiced advantages of the technology is that it produces 'good statistics' because large numbers of cells have been analysed. However, it is not very often that confidence limits are placed on results, hence the reader has little or no feel for the inherent variability in the information produced. This book covers very basic number handling techniques, regression analysis, probability functions, statistical tests and methods of analysing dynamic processes. All those who use flow cytometry in their research will find this book an invaluable guide to interpreting the data produced by flow cytometers.
650 0 _aFlow cytometry
_xStatistical methods.
650 0 _aFlow cytometry
_xMathematics.
650 0 _aFlow cytometry
_xData processing.
776 0 8 _iPrint version:
_z9780521415453
856 4 0 _uhttps://doi.org/10.1017/CBO9780511600357
999 _c522688
_d522686