Methods, apparatus, and systems are provided for processing a data set representing an amplification curve having a baseline portion and a growth portion. Peak objects are generated by taking a derivative of the data set. The first peak object having a value greater than a threshold is identified. An end of the baseline portion from a beginning of the first peak object is estimated.
Systems and methods are provided for analyzing data to determine properties of a PCR process or other process exhibiting amplification or growth. Data representing an amplification can be distinguished from data representing a jump or other error. A modified sigmoid function containing a drift term may be used in determining the properties. A multi-stage functional fit of the amplification data can provide increased accuracy and consistency of one or more of the properties. A baseline of the amplification data can be determined by analyzing an integrated area of a first derivative function of the data. A reference quantitation value can also be determined from locations of maxima of different derivative functions of the amplification data, e. g. , a weighted average of the maxima locations for the second and third derivatives may be used.
Systems and methods are provided for analyzing data to determine properties of a PCR process or other process exhibiting amplification or growth. Data representing an amplification can be distinguished from data representing a jump or other error. A modified sigmoid function containing a drift term may be used in determining the properties. A multi-stage functional fit of the amplification data can provide increased accuracy and consistency of one or more of the properties. A baseline of the amplification data can be determined by analyzing an integrated area of a first derivative function of the data. A reference quantitation value can also be determined from locations of maxima of different derivative functions of the amplification data, e. g. , a weighted average of the maxima locations for the second and third derivatives may be used.
Methods, apparatus, and systems are provided for processing a data set having noise to determine whether the data set exhibits statistically linear behavior. A true data signal is calculated based on local properties of the data, and an estimate of the noise in the data is calculated from the true data signal. A measure of the estimated noise is then compared to properties of a linear fit to the data set.
Systems and methods are provided for analyzing data to determine properties of a PCR processor other process exhibiting amplification or growth. Data representing an amplification can be distinguished from data representing a jump or other error. A modified sigmoid function containing a drift term may be used in determining the properties. A multi-stage functional fit of the amplification data can provide increased accuracy and consistency of one or more of the properties. A baseline of the amplification data can be determined by analyzing an integrated area of a first derivative function of the data. A reference quantitation value can also be determined from locations of maxima of different derivative functions of the amplification data, e.g., a weighted average of the maxima locations for the second and third derivatives may be used.
Deconstructing Overlapped Peaks In Experimental Data
- Hercules CA, US Jeffrey Lerner - Walnut Creek CA, US
International Classification:
G06F 19/18 G06F 19/22
Abstract:
To determine a peak signal corresponding to a particular part of a sample, a data signal for a cluster can be transformed into a set of localized functions. For example, the data signal can be transformed to obtain coefficients of a set of wavelets, which can span a variety of scales that define an exponential decay of the wavelet. The coefficients in a time region for which a peak signal is to be obtained can be replaced with coefficients that model the behavior of tails of other peaks. The tail model can be determined using nonlinear regression, which may need to only be performed once. An inverse transform can then provide a background signal that can be subtracted from the input data signal to provide the desired peak signal.
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Past: Executive Producer at New Wave Entertainment, Producer at New Wave Entertainment... Specializing in New Media Development/Interactive Technologies and Added Value Content (Documentaries, Audio Commentaries, Interactive Games) for DVD and... Specializing in New Media Development/Interactive Technologies and Added Value Content (Documentaries, Audio Commentaries, Interactive Games) for DVD and Blu-ray Disc.
Extensive experience in Creative Design, Production, Post Production and Marketing for Film,Television and Home Video.
Westminister School Montreal Kuwait 1965-1972, Royal Vale Elementary School Montreal Kuwait 1972-1973
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Ann Chervin, Sam Ralph, Elisabeth Chemouny, Steven Morein, Audrey Birenbaum, Steven Mitchell, Ken Ungar, Joseph Rakita, Sue Gold, Leslee Hersh, Marcy Walker, Peter Gomberg
Dr. Jeffrey Lerner, who has studied medical technology for over 25 years, said device makers are still coming to grips with a new regulatory environment that demands greater safety often at the expense of profits.
Date: Jul 29, 2011
Source: Google
Davis can't get through 4th as Red Sox pound out 19 hits
No one from Yang's family appeared to have attended the sentencing. Though Yang has insisted she is innocent and she invoked her right to remain silent at trial attorney Jeffrey Lerner said outside court that his client is "truly sorry" for the Reuter family's pain.