68 search results - page 3 / 14 » Binding Machines |
ESANN
2006
13 years 7 months ago
2006
Currently the best algorithms for transcription factor binding site prediction are severely limited in accuracy. In previous work we combine random selection under-sampling with th...
TOOLS
1999
IEEE
13 years 10 months ago
1999
IEEE
The goal of this paper is to obtain a one-to-one correspondence between state machines as e.g. used in UML and object-oriented programming languages. A proposal is made for a lang...
RECOMB
2006
Springer
14 years 6 months ago
2006
Springer
Abstract. We describe and empirically evaluate machine learning methods for the prediction of zinc binding sites from protein sequences. We start by observing that a data set consi...
BMCBI
2007
13 years 5 months ago
2007
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...
ICMLA
2007
13 years 7 months ago
2007
We describe SVMotif, a support vector machine-based learning algorithm for identification of cellular DNA transcription factor (TF) motifs extrapolated from known TF-gene interact...