This paper presents a methodology to mine spectra data based on time-series analysis. MALDI-TOF spectra are modelled as time series using a compact yet feature-rich representation scheme. Experiments show that classifying mass spectrometry series is effective and can be useful for identifying peaks in spectra that can be associated to discriminant proteins
We present a novel nonparametric Bayesian approach based on Lévy Adaptive Regression Kernels (LARK) ...
Scherbart A, Timm W, Böcker S, Nattkemper TW. Improved Mass Spectrometry Peak Intensity Prediction b...
BACKGROUND: Mass spectrometry (MS) is becoming the gold standard for biomarker discovery. Several MS...
This paper presents a methodology to mine spectra data based on time-series analysis. MALDI-TOF spec...
International audienceThe goal of this paper is to review existing methods for protein mass spectrom...
We present a novel nonparametric Bayesian approach based on Lévy Adaptive Regression Kernels (LARK) ...
Mass spectrometry is a technique to determine the molecular content of samples derived from human, a...
Matrix-assisted laser desorption/ionization Fourier transform ion cyclotron resonance mass spectrome...
Abstract Mass spectrometry is actively being used to discover disease-related pro-teomic patterns in...
Motivation: Mass spectrometry (MS) can generate high-throughput protein profiles for biomedical rese...
Timm W, Scherbart A, Boecker S, Kohlbacher O, Nattkemper TW. Peak intensity prediction in MALDI-TOF ...
Matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF-MS) is a wel...
Proteomics is the post-genomic science that aims to identify and characterize the entire protein co...
The high throughput capabilities of protein mass fingerprints measurements have made mass spectromet...
Proteomic spectra obtained from matrix-assisted laser desorption ionisation (MALDI) time-of-flight m...
We present a novel nonparametric Bayesian approach based on Lévy Adaptive Regression Kernels (LARK) ...
Scherbart A, Timm W, Böcker S, Nattkemper TW. Improved Mass Spectrometry Peak Intensity Prediction b...
BACKGROUND: Mass spectrometry (MS) is becoming the gold standard for biomarker discovery. Several MS...
This paper presents a methodology to mine spectra data based on time-series analysis. MALDI-TOF spec...
International audienceThe goal of this paper is to review existing methods for protein mass spectrom...
We present a novel nonparametric Bayesian approach based on Lévy Adaptive Regression Kernels (LARK) ...
Mass spectrometry is a technique to determine the molecular content of samples derived from human, a...
Matrix-assisted laser desorption/ionization Fourier transform ion cyclotron resonance mass spectrome...
Abstract Mass spectrometry is actively being used to discover disease-related pro-teomic patterns in...
Motivation: Mass spectrometry (MS) can generate high-throughput protein profiles for biomedical rese...
Timm W, Scherbart A, Boecker S, Kohlbacher O, Nattkemper TW. Peak intensity prediction in MALDI-TOF ...
Matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF-MS) is a wel...
Proteomics is the post-genomic science that aims to identify and characterize the entire protein co...
The high throughput capabilities of protein mass fingerprints measurements have made mass spectromet...
Proteomic spectra obtained from matrix-assisted laser desorption ionisation (MALDI) time-of-flight m...
We present a novel nonparametric Bayesian approach based on Lévy Adaptive Regression Kernels (LARK) ...
Scherbart A, Timm W, Böcker S, Nattkemper TW. Improved Mass Spectrometry Peak Intensity Prediction b...
BACKGROUND: Mass spectrometry (MS) is becoming the gold standard for biomarker discovery. Several MS...