Processing and classification of protein mass spectra
M Hilario, A Kalousis, C Pellegrini… - Mass spectrometry …, 2006 - Wiley Online Library
Among the many applications of mass spectrometry, biomarker pattern discovery from
protein mass spectra has aroused considerable interest in the past few years. While …
protein mass spectra has aroused considerable interest in the past few years. While …
[HTML][HTML] Bayesian approach with prior models which enforce sparsity in signal and image processing
A Mohammad-Djafari - EURASIP Journal on Advances in Signal …, 2012 - Springer
In this review article, we propose to use the Bayesian inference approach for inverse
problems in signal and image processing, where we want to infer on sparse signals or …
problems in signal and image processing, where we want to infer on sparse signals or …
A MAP-based algorithm for spectroscopic semi-blind deconvolution
Spectroscopic data often suffer from common problems of bands overlapping and random
noise. In this paper, we show that the issue of overlapping peaks can be considered as a …
noise. In this paper, we show that the issue of overlapping peaks can be considered as a …
Semi-blind spectral deconvolution with adaptive Tikhonov regularization
Deconvolution has become one of the most used methods for improving spectral resolution.
Deconvolution is an ill-posed problem, especially when the point spread function (PSF) is …
Deconvolution is an ill-posed problem, especially when the point spread function (PSF) is …
Reconstructing population exposures to environmental chemicals from biomarkers: challenges and opportunities
PG Georgopoulos, AF Sasso, SS Isukapalli… - Journal of exposure …, 2009 - nature.com
A conceptual/computational framework for exposure reconstruction from biomarker data
combined with auxiliary exposure-related data is presented, evaluated with example …
combined with auxiliary exposure-related data is presented, evaluated with example …
Positive deconvolution for superimposed extended source and point sources
JF Giovannelli, A Coulais - Astronomy & Astrophysics, 2005 - aanda.org
The paper deals with the construction of images from visibilities acquired using aperture
synthesis instruments: Fourier synthesis, deconvolution, and spectral interpolation …
synthesis instruments: Fourier synthesis, deconvolution, and spectral interpolation …
Maximum entropy deconvolution of infrared spectra: use of a novel entropy expression without sign restriction
VA Lórenz-Fonfría, E Padrós - Applied spectroscopy, 2005 - opg.optica.org
Absorbance and difference infrared spectra are often acquired aiming to characterize
protein structure and structural changes of proteins upon ligand binding, as well as for many …
protein structure and structural changes of proteins upon ligand binding, as well as for many …
An unrolled half-quadratic approach for sparse signal recovery in spectroscopy
This paper addresses the problem of sparse signal reconstruction frequently arising in
analytical chemistry. Spectroscopic restoration is an important task that was tackled using …
analytical chemistry. Spectroscopic restoration is an important task that was tackled using …
Image analysis tools and emerging algorithms for expression proteomics
Since their origins in academic endeavours in the 1970s, computational analysis tools have
matured into a number of established commercial packages that underpin research in …
matured into a number of established commercial packages that underpin research in …
Transformation of time-resolved spectra to lifetime-resolved spectra by maximum entropy inversion of the laplace transform
VA Lórenz-Fonfría, H Kandori - Applied spectroscopy, 2006 - opg.optica.org
We present a method for the analysis of time-resolved spectroscopic data following first-
order kinetics. The time traces at all the available spectroscopic channels (eg, wavelength or …
order kinetics. The time traces at all the available spectroscopic channels (eg, wavelength or …