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» Scalable, updatable predictive models for sequence data
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99
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BMCBI
2010
156views more  BMCBI 2010»
15 years 21 days ago
Mathematical model for empirically optimizing large scale production of soluble protein domains
Background: Efficient dissection of large proteins into their structural domains is critical for high throughput proteome analysis. So far, no study has focused on mathematically ...
Eisuke Chikayama, Atsushi Kurotani, Takanori Tanak...
122
Voted
CCS
2008
ACM
15 years 2 months ago
Authenticated hash tables
Hash tables are fundamental data structures that optimally answer membership queries. Suppose a client stores n elements in a hash table that is outsourced at a remote server so t...
Charalampos Papamanthou, Roberto Tamassia, Nikos T...
88
Voted
ACCV
2006
Springer
15 years 6 months ago
Tracking with the Kinematics of Extremal Contours
Abstract. This paper addresses the problem of articulated motion tracking from image sequences. We describe a method that relies on an explicit parameterization of the extremal con...
David Knossow, Rémi Ronfard, Radu Horaud, F...
99
Voted
IPPS
2006
IEEE
15 years 6 months ago
A method to improve structural modeling based on conserved domain clusters
—Homology modeling requires an accurate alignment between a query sequence and its homologs with known three-dimensional (3D) information. Current structural modeling techniques ...
Fa Zhang, Lin Xu, Bo Yuan
105
Voted
ISBI
2008
IEEE
16 years 1 months ago
Segmentation of the evolving left ventricle by learning the dynamics
We propose a method for recursive segmentation of the left ventricle (LV) across a temporal sequence of magnetic resonance (MR) images. The approach involves a technique for learn...
Walter Sun, Müjdat Çetin, Raymond Chan...