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BMCBI
2010
193views more  BMCBI 2010»
13 years 5 months ago
MZmine 2: Modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data
Background: Mass spectrometry (MS) coupled with online separation methods is commonly applied for differential and quantitative profiling of biological samples in metabolomic as w...
Tomás Pluskal, Sandra Castillo, Alejandro V...
BMCBI
2010
135views more  BMCBI 2010»
13 years 5 months ago
Quadratic variance models for adaptively preprocessing SELDI-TOF mass spectrometry data
Background: Surface enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI) is a proteomics tool for biomarker discovery and other high throughput applicatio...
Vincent A. Emanuele II, Brian M. Gurbaxani
BMCBI
2007
127views more  BMCBI 2007»
13 years 5 months ago
The EIPeptiDi tool: enhancing peptide discovery in ICAT-based LC MS/MS experiments
Background: Isotope-coded affinity tags (ICAT) is a method for quantitative proteomics based on differential isotopic labeling, sample digestion and mass spectrometry (MS). The me...
Mario Cannataro, Giovanni Cuda, Marco Gaspari, Ser...
BMCBI
2008
92views more  BMCBI 2008»
13 years 5 months ago
A semiparametric modeling framework for potential biomarker discovery and the development of metabonomic profiles
Background: The discovery of biomarkers is an important step towards the development of criteria for early diagnosis of disease status. Recently electrospray ionization (ESI) and ...
Samiran Ghosh, David F. Grant, Dipak K. Dey, Denni...
ESANN
2006
13 years 7 months ago
Margin based Active Learning for LVQ Networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...