Effective Automated Feature Construction and Selection for Classification of Biological Sequences
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Effective Automated Feature Construction and Selection for Classification of Biological Sequences
Authors
Keywords
-
Journal
PLoS One
Volume 9, Issue 7, Pages e99982
Publisher
Public Library of Science (PLoS)
Online
2014-07-18
DOI
10.1371/journal.pone.0099982
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- kmer-SVM: a web server for identifying predictive regulatory sequence features in genomic data sets
- (2013) Christopher Fletez-Brant et al. NUCLEIC ACIDS RESEARCH
- What does our genome encode?
- (2012) J. A. Stamatoyannopoulos GENOME RESEARCH
- An Evolutionary Algorithm Approach for Feature Generation from Sequence Data and Its Application to DNA Splice Site Prediction
- (2012) Uday Kamath et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Alu distribution and mutation types of cancer genes
- (2011) Wensheng Zhang et al. BMC GENOMICS
- De-Novo Discovery of Differentially Abundant Transcription Factor Binding Sites Including Their Positional Preference
- (2011) Jens Keilwagen et al. PLoS Computational Biology
- Alu elements: know the SINEs
- (2011) Prescott Deininger GENOME BIOLOGY
- A TWO-STAGE EVOLUTIONARY APPROACH FOR EFFECTIVE CLASSIFICATION OF HYPERSENSITIVE DNA SEQUENCES
- (2011) UDAY KAMATH et al. Journal of Bioinformatics and Computational Biology
- Unifying generative and discriminative learning principles
- (2010) Jens Keilwagen et al. BMC BIOINFORMATICS
- mGene: Accurate SVM-based gene finding with an application to nematode genomes
- (2009) G. Schweikert et al. GENOME RESEARCH
- POIMs: positional oligomer importance matrices—understanding support vector machine-based signal detectors
- (2008) Sören Sonnenburg et al. BIOINFORMATICS
- BioJava: an open-source framework for bioinformatics
- (2008) R. C. G. Holland et al. BIOINFORMATICS
- Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach
- (2008) Firoz Anwar et al. BMC BIOINFORMATICS
- Supervised learning method for the prediction of subcellular localization of proteins using amino acid and amino acid pair composition
- (2008) Tanwir Habib et al. BMC GENOMICS
- The Jpred 3 secondary structure prediction server
- (2008) C. Cole et al. NUCLEIC ACIDS RESEARCH
- Using genetic algorithms to select most predictive protein features
- (2008) Andrew Kernytsky et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now