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BMCBI
2010
135views more  BMCBI 2010»
15 years 6 months ago
Detecting disease associated modules and prioritizing active genes based on high throughput data
Background: The accumulation of high-throughput data greatly promotes computational investigation of gene function in the context of complex biological systems. However, a biologi...
Yu-Qing Qiu, Shi-Hua Zhang, Xiang-Sun Zhang, Luona...
BMCBI
2010
124views more  BMCBI 2010»
15 years 6 months ago
GPFrontend and GPGraphics: graphical analysis tools for genetic association studies
Background: Most software packages for whole genome association studies are non-graphical, purely text based programs originally designed to run with UNIX-like operating systems. ...
Steffen Uebe, Francesca Pasutto, Mandy Krumbiegel,...
BMCBI
2008
126views more  BMCBI 2008»
15 years 6 months ago
NITPICK: peak identification for mass spectrometry data
Background: The reliable extraction of features from mass spectra is a fundamental step in the automated analysis of proteomic mass spectrometry (MS) experiments. Results: This co...
Bernhard Y. Renard, Marc Kirchner, Hanno Steen, Ju...
BMCBI
2010
193views more  BMCBI 2010»
15 years 6 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
2007
207views more  BMCBI 2007»
15 years 6 months ago
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...
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