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» Clarifying Goal Models
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156
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BMCBI
2010
190views more  BMCBI 2010»
15 years 3 months ago
Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification alg
Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...
Yu Guo, Armin Graber, Robert N. McBurney, Raji Bal...
135
Voted
BMCBI
2010
139views more  BMCBI 2010»
15 years 3 months ago
TOPSAN: a collaborative annotation environment for structural genomics
Background: Many protein structures determined in high-throughput structural genomics centers, despite their significant novelty and importance, are available only as PDB depositi...
Dana Weekes, S. Sri Krishna, Constantina Bakolitsa...
147
Voted
BMCBI
2008
160views more  BMCBI 2008»
15 years 3 months ago
VariVis: a visualisation toolkit for variation databases
Background: With the completion of the Human Genome Project and recent advancements in mutation detection technologies, the volume of data available on genetic variations has rise...
Timothy D. Smith, Richard G. H. Cotton
132
Voted
BMCBI
2007
181views more  BMCBI 2007»
15 years 3 months ago
Versatile annotation and publication quality visualization of protein complexes using POLYVIEW-3D
Background: Macromolecular visualization as well as automated structural and functional annotation tools play an increasingly important role in the post-genomic era, contributing ...
Aleksey A. Porollo, Jaroslaw Meller
138
Voted
BMCBI
2008
138views more  BMCBI 2008»
15 years 3 months ago
Using neural networks and evolutionary information in decoy discrimination for protein tertiary structure prediction
Background: We present a novel method of protein fold decoy discrimination using machine learning, more specifically using neural networks. Here, decoy discrimination is represent...
Ching-Wai Tan, David T. Jones