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» On Compressibility of Protein Sequences
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HAPTICS
2007
IEEE
14 years 1 months ago
Design and Psychophysical Study of Volume Compression for Haptic Rendering
The paper specifies a novel coder/decoder that compresses sequences of 3D texture data to support the haptic rendering of animated volumes. Lossy compression gives 25% of the ori...
Nils Jensen, Gabriel Gaus, Gabriele von Voigt, Ste...
BMCBI
2005
99views more  BMCBI 2005»
13 years 7 months ago
Super paramagnetic clustering of protein sequences
Background: Detection of sequence homologues represents a challenging task that is important for the discovery of protein families and the reliable application of automatic annota...
Igor V. Tetko, Axel Facius, Andreas Ruepp, Hans-We...
PAA
2006
13 years 7 months ago
Efficient median based clustering and classification techniques for protein sequences
Abstract In this paper, an efficient K-medians clustering (unsupervised) algorithm for prototype selection and Supervised K-medians (SKM) classification technique for protein seque...
P. A. Vijaya, M. Narasimha Murty, D. K. Subramania...
BMCBI
2004
94views more  BMCBI 2004»
13 years 7 months ago
GASP: Gapped Ancestral Sequence Prediction for proteins
Background: The prediction of ancestral protein sequences from multiple sequence alignments is useful for many bioinformatics analyses. Predicting ancestral sequences is not a sim...
Richard J. Edwards, Denis C. Shields
CIBCB
2005
IEEE
14 years 1 months ago
The Homology Kernel: A Biologically Motivated Sequence Embedding into Euclidean Space
— Part of the challenge of modeling protein sequences is their discrete nature. Many of the most powerful statistical and learning techniques are applicable to points in a Euclid...
Eleazar Eskin, Sagi Snir