Sciweavers

5809 search results - page 790 / 1162
» On Quantifying Semantic Information
Sort
View
BMCBI
2007
127views more  BMCBI 2007»
15 years 7 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
2010
156views more  BMCBI 2010»
15 years 7 months ago
Extended morphological processing: a practical method for automatic spot detection of biological markers from microscopic images
Background: A reliable extraction technique for resolving multiple spots in light or electron microscopic images is essential in investigations of the spatial distribution and dyn...
Yoshitaka Kimori, Norio Baba, Nobuhiro Morone
BMCBI
2010
142views more  BMCBI 2010»
15 years 7 months ago
pplacer: linear time maximum-likelihood and Bayesian phylogenetic placement of sequences onto a fixed reference tree
Background: Likelihood-based phylogenetic inference is generally considered to be the most reliable classification method for unknown sequences. However, traditional likelihood-ba...
Frederick A. Matsen III, Robin B. Kodner, E. Virgi...
BMCBI
2007
112views more  BMCBI 2007»
15 years 7 months ago
Selecting dissimilar genes for multi-class classification, an application in cancer subtyping
Background: Gene expression microarray is a powerful technology for genetic profiling diseases and their associated treatments. Such a process involves a key step of biomarker ide...
Zhipeng Cai, Randy Goebel, Mohammad R. Salavatipou...
BMCBI
2008
82views more  BMCBI 2008»
15 years 7 months ago
Envelope: interactive software for modeling and fitting complex isotope distributions
Background: An important aspect of proteomic mass spectrometry involves quantifying and interpreting the isotope distributions arising from mixtures of macromolecules with differe...
Michael T. Sykes, James R. Williamson