Lucía Conde

Orcid: 0000-0001-5180-543X

According to our database1, Lucía Conde authored at least 14 papers between 2002 and 2013.

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Bibliography

2013
eALPS: Estimating Abundance Levels in Pooled Sequencing Using Available Genotyping Data.
J. Comput. Biol., 2013

2008
Joint annotation of coding and non-coding single nucleotide polymorphisms and mutations in the SNPeffect and PupaSuite databases.
Nucleic Acids Res., 2008

2007
ISACGH: a web-based environment for the analysis of Array CGH and gene expression which includes functional profiling.
Nucleic Acids Res., 2007

2006
Next station in microarray data analysis: GEPAS.
Nucleic Acids Res., 2006

PupaSuite: finding functional single nucleotide polymorphisms for large-scale genotyping purposes.
Nucleic Acids Res., 2006

BABELOMICS: a systems biology perspective in the functional annotation of genome-scale experiments.
Nucleic Acids Res., 2006

2005
GEPAS, an experiment-oriented pipeline for the analysis of microarray gene expression data.
Nucleic Acids Res., 2005

PupasView: a visual tool for selecting suitable SNPs, with putative pathological effect in genes, for genotyping purposes.
Nucleic Acids Res., 2005

BABELOMICS: a suite of web tools for functional annotation and analysis of groups of genes in high-throughput experiments.
Nucleic Acids Res., 2005

2004
New challenges in gene expression data analysis and the extended GEPAS.
Nucleic Acids Res., 2004

PupaSNP Finder: a web tool for finding SNPs with putative effect at transcriptional level.
Nucleic Acids Res., 2004

Finding SNPs with Putative Phenotypic Effect at Transcriptional Level.
Proceedings of the 5th Annual Spanish Bioinformatics Conference, Barcelona, Catalonia, 2004

2003
Improved Class Prediction in DNA Microarray Gene Expression Data by Unsupervised Reduction of the Dimensionality followed by Supervised Learning with a Perceptron.
J. VLSI Signal Process., 2003

2002
Unsupervised reduction of the dimensionality followed by supervised learning with a perceptron improves the classification of conditions in DNA microarray gene expression data.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002


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