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» Learning to learn with the informative vector machine
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BMCBI
2010
214views more  BMCBI 2010»
14 years 11 months ago
AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
Aaron M. Newman, James B. Cooper
BMCBI
2010
107views more  BMCBI 2010»
14 years 11 months ago
Semantic annotation of morphological descriptions: an overall strategy
Background: Large volumes of morphological descriptions of whole organisms have been created as print or electronic text in a human-readable format. Converting the descriptions in...
Hong Cui
BMCBI
2007
126views more  BMCBI 2007»
14 years 11 months ago
High-throughput identification of interacting protein-protein binding sites
Background: With the advent of increasing sequence and structural data, a number of methods have been proposed to locate putative protein binding sites from protein surfaces. Ther...
Jo-Lan Chung, Wei Wang, Philip E. Bourne
CORR
2008
Springer
213views Education» more  CORR 2008»
14 years 11 months ago
Between conjecture and memento: shaping a collective emotional perception of the future
Abstract Microblogging is a form of online communication by which users broadcast brief text updates, also known as tweets, to the public or a selected circle of contacts. A varieg...
Alberto Pepe, Johan Bollen
BMCBI
2007
116views more  BMCBI 2007»
14 years 11 months ago
Clustering protein environments for function prediction: finding PROSITE motifs in 3D
Background: Structural genomics initiatives are producing increasing numbers of threedimensional (3D) structures for which there is little functional information. Structure-based ...
Sungroh Yoon, Jessica C. Ebert, Eui-Young Chung, G...