AI Drug Adherence | Gambline | Immunotherapy | Drug-Stents

AI Drug Adherence | Gambline | Immunotherapy | Drug-Stents

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A comparison of three algorithms for chromatograms alignment - PubMed
A comparison of three algorithms for chromatograms alignment - PubMed
In this paper the performance of three alignment algorithms, correlation optimized warping, parametric time warping and semi-parametric time warping, is compared on real chromatograms. Among these, parametric time warping is the simplest and fastest; generally less than 1s is required to align two c …
·pubmed.ncbi.nlm.nih.gov·
A comparison of three algorithms for chromatograms alignment - PubMed
Correlation optimized warping and dynamic time warping as preprocessing methods for chromatographic data, Journal of Chemometrics | 10.1002/cem.859 | DeepDyve
Correlation optimized warping and dynamic time warping as preprocessing methods for chromatographic data, Journal of Chemometrics | 10.1002/cem.859 | DeepDyve
Two different algorithms for time‐alignment as a preprocessing step in linear factor models are studied. Correlation optimized warping and dynamic time warping are both presented in the literature as methods that can eliminate shift‐related artifacts from measurements by correcting a sample vector towards a reference. In this study both the theoretical properties and the practical implications of using signal warping as preprocessing for chromatographic data are investigated. The connection between the two algorithms is also discussed. The findings are illustrated by means of a case study of principal component analysis on a real data set, including manifest retention time artifacts, of extracts from coffee samples stored under different packaging conditions for varying storage times. We concluded that for the data presented here dynamic time warping with rigid slope constraints and correlation optimized warping are superior to unconstrained dynamic time warping; both considerably simplify interpretation of the factor model results. Unconstrained dynamic time warping was found to be too flexible for this chromatographic data set, resulting in an overcompensation of the observed shifts and suggesting the unsuitability of this preprocessing method for this type of signals. Copyright © 2004 John Wiley & Sons, Ltd.
·deepdyve.com·
Correlation optimized warping and dynamic time warping as preprocessing methods for chromatographic data, Journal of Chemometrics | 10.1002/cem.859 | DeepDyve
Fun with AFNI Masks | Crash Log
Fun with AFNI Masks | Crash Log
I watched an episode of The Big Bang Theory last night where Dr. Sheldon Cooper was airing an episode of "Fun with Flags," which gave me the idea for today's blog post title. A while ago, I detailed how to create ROIs in AFNI using a variety of different methods. And I even included a
·blog.cogneurostats.com·
Fun with AFNI Masks | Crash Log
How to install AFNI for nipype · Issue #1067 · nipy/nipype
How to install AFNI for nipype · Issue #1067 · nipy/nipype
Hi, I am currently writing some packages for AFNI/FSL/SPM for my favourite distro (Gentoo). I plan to use these toolkits via nipype. On the example of AFNI: I am currently placing everything into /...
·github.com·
How to install AFNI for nipype · Issue #1067 · nipy/nipype
Chemometric assisted correlation optimized warping of chromatograms: optimizing the computational time for correcting the drifts in chromatographic peak positions - Analytical Methods (RSC Publishing)
Chemometric assisted correlation optimized warping of chromatograms: optimizing the computational time for correcting the drifts in chromatographic peak positions - Analytical Methods (RSC Publishing)
Correlation optimized warping has been the most used technique to correct the drifts in peak positions. COW aligns the unaligned chromatogram to the reference chromatogram provided slack (t) and segment lengths (m) are optimized. However, several combinations of m and t need to be tested before finding the o
·pubs.rsc.org·
Chemometric assisted correlation optimized warping of chromatograms: optimizing the computational time for correcting the drifts in chromatographic peak positions - Analytical Methods (RSC Publishing)
Analysis of Volatile Organic Compounds in Exhaled Breath by Gas Chromatography-Mass Spectrometry Combined with Chemometric Analysis | SpringerLink
Analysis of Volatile Organic Compounds in Exhaled Breath by Gas Chromatography-Mass Spectrometry Combined with Chemometric Analysis | SpringerLink
Analysis of exhaled breath samples reveals the presence of many volatile organic compounds (VOCs). The VOC composition of the breath, the so-called breath profile, contains a variety of information including the health status and condition of the organism that...
·link.springer.com·
Analysis of Volatile Organic Compounds in Exhaled Breath by Gas Chromatography-Mass Spectrometry Combined with Chemometric Analysis | SpringerLink
Correlation-optimized time warping for motion | SpringerLink
Correlation-optimized time warping for motion | SpringerLink
The Visual Computer - Retrieval and comparative editing/modeling of motion data require temporal alignment. In other words, for such processes to perform accurately, critical features of motion...
·link.springer.com·
Correlation-optimized time warping for motion | SpringerLink
CORE
CORE
·core.ac.uk·
CORE
Registration of prone and supine CT colonography scans using correlation optimized warping and canonical correlation analysis
Registration of prone and supine CT colonography scans using correlation optimized warping and canonical correlation analysis
Purpose: In computed tomographic colonography (CTC), a patient will be scanned twice—Once supine and once prone—to improve the sensitivity for polyp detection. To assist radiologists in CTC reading, in this paper we propose an automated ...
·ncbi.nlm.nih.gov·
Registration of prone and supine CT colonography scans using correlation optimized warping and canonical correlation analysis