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» Mining Gene Expression Data using Domain Knowledge
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BMCBI
2005
251views more  BMCBI 2005»
15 years 3 months ago
Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...
BMCBI
2008
141views more  BMCBI 2008»
15 years 3 months ago
EzArray: A web-based highly automated Affymetrix expression array data management and analysis system
Background: Though microarray experiments are very popular in life science research, managing and analyzing microarray data are still challenging tasks for many biologists. Most m...
Yuerong Zhu, Yuelin Zhu, Wei Xu
136
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CEC
2011
IEEE
14 years 3 months ago
Inferring transcriptional regulators for sets of co-expressed genes by multi-objective evolutionary optimization
Abstract—Higher organisms are able to respond to continuously changing external conditions by transducing cellular signals into specific regulatory programs, which control gene ...
Adrian Schröder, Clemens Wrzodek, Johannes Wo...
BMCBI
2010
111views more  BMCBI 2010»
15 years 3 months ago
Functional Analysis: Evaluation of Response Intensities - Tailoring ANOVA for Lists of Expression Subsets
Background: Microarray data is frequently used to characterize the expression profile of a whole genome and to compare the characteristics of that genome under several conditions....
Fabrice Berger, Bertrand De Meulder, Anthoula Gaig...
GIS
2006
ACM
16 years 4 months ago
Mining frequent geographic patterns with knowledge constraints
The large amount of patterns generated by frequent pattern mining algorithms has been extensively addressed in the last few years. In geographic pattern mining, besides the large ...
Luis Otávio Alvares, Paulo Martins Engel, S...