Susan J. Brown

Orcid: 0000-0002-7984-0445

According to our database1, Susan J. Brown authored at least 14 papers between 2004 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2019
A quick guide for student-driven community genome annotation.
PLoS Comput. Biol., 2019

2017
Improved annotation of the insect vector of citrus greening disease: biocuration by a diverse genomics community.
Database J. Biol. Databases Curation, 2017

2010
BeetleBase in 2010: revisions to provide comprehensive genomic information for <i>Tribolium castaneum</i>.
Nucleic Acids Res., 2010

Prediction of alternatively spliced exons using Support Vector Machines.
Int. J. Data Min. Bioinform., 2010

2008
Exploring Alternative Splicing Features Using Support Vector Machines.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

2007
BeetleBase: the model organism database for <i>Tribolium castaneum</i>.
Nucleic Acids Res., 2007

2006
BindN: a web-based tool for efficient prediction of DNA and RNA binding sites in amino acid sequences.
Nucleic Acids Res., 2006

Prediction of Dna-binding Residues from Sequence Features.
J. Bioinform. Comput. Biol., 2006

Prediction of RNA-Binding Residues in Protein Sequences Using Support Vector Machines.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

An Integrated Web-Based Model for Management, Analysis and Retrieval of EST Biological Information.
Proceedings of the Advanced Web and Network Technologies, and Applications, 2006

2005
Determination of cluster number in clustering microarray data.
Appl. Math. Comput., 2005

2004
Incremental genetic K-means algorithm and its application in gene expression data analysis.
BMC Bioinform., 2004

Computational identification of novel chitinase-like proteins in the Drosophila melanogaster genome.
Bioinform., 2004

FGKA: a Fast Genetic K-means Clustering Algorithm.
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004


  Loading...