Scd fingerprints
a fingerprint and digital technology, applied in the field of scd fingerprints, can solve the problems of insufficient accuracy of histopathological methods, high cost, impracticality, etc., and achieve the effect of complicating the cd fingerprint obtained
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example 1
FIG. 1. Disease Groups. Multiples of ULN All sCD's Included
[0229] Two values obtained (CD40L and CD30) for the individual, classified as normal, with a suspected drug overdose were omitted from the calculation of the upper limit of normal. The dilution factor for each sCD was fixed throughout the study. The results obtained are those of the diluted sample and have not been multiplied by the dilution factor. The absolute value of each data point was divided by the upper limit of normal (ULN) as defined above. Where the absolute value was greater than the dynamic range of the assay the result [9999] was recorded.
[0230] The limits indicated by each point are: [0231] Green ≦1×ULN [0232] Blue 1-2×ULN [0233] Red >2×ULN [0234] A white block indicates no data available.
example 2
FIG. 2 Remove All sCD's that Appear not to Discriminate from the Normals (sCD's 21; 102; 117; 126; 130; 26; 44v5; 44v6; 62P)
[0235] To simplify the diagram the above sCD plots were removed.
[0236] The data suggests (FIG. 1.) that the concentration of some of these sCD may actually be lowered in disease. As we initially worked on the premise that there would be over-expression of these molecules in disease, samples have been diluted optimally to focus on high, rather than low concentrations.
example 3
FIG. 3. Disease Groups. Mode of Response for Remaining 20 sCD's
[0237] To simplify the data further the modal response for each disease group has been plotted. As the lymphoma and “oligoclonal-banding positive” group contain only a single subject, they have been omitted. Where there is no clear mode, both responses have been shown.
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