68 search results - page 3 / 14 » Binding Machines |
99
Voted
ESANN
2006
15 years 1 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...
105
Voted
TOOLS
1999
IEEE
15 years 4 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...
112
Voted
RECOMB
2006
Springer
16 years 21 days 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
15 years 15 days 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...
80
Voted
ICMLA
2007
15 years 1 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...