Elisabet
Guruceaga Martínez
Bioinformática
Publicaciones en las que colabora con Elisabet Guruceaga Martínez (15)
2024
2022
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The bone marrow niche regulates redox and energy balance in MLL::AF9 leukemia stem cells
Leukemia, Vol. 36, Núm. 8, pp. 1969-1979
2021
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Characterization of complete lncRNAs transcriptome reveals the functional and clinical impact of lncRNAs in multiple myeloma
Leukemia, Vol. 35, Núm. 5, pp. 1438-1450
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Whole exome sequencing characterization of individuals presenting extreme phenotypes of high and low risk of developing tobacco-induced lung adenocarcinoma
Translational Lung Cancer Research, Vol. 10, Núm. 3, pp. 1327-1337
2020
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DeepMSPeptide: Peptide detectability prediction using deep learning
Bioinformatics, Vol. 36, Núm. 4, pp. 1279-1280
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UPEFinder: A Bioinformatic Tool for the Study of Uncharacterized Proteins Based on Gene Expression Correlation and the PageRank Algorithm
Journal of Proteome Research, Vol. 19, Núm. 12, pp. 4795-4807
2018
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Cancertool: A visualization and representation interface to exploit cancer datasets
Cancer Research, Vol. 78, Núm. 21, pp. 6320-6328
2014
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Space: An algorithm to predict and quantify alternatively spliced isoforms using microarrays
Bioinformatics: The Impact of Accurate Quantification on Proteomic and Genetic Analysis and Research (Apple Academic Press), pp. 105-144
2010
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Genome-wide proximal promoter analysis and interpretation.
Methods in molecular biology (Clifton, N.J.), Vol. 593, pp. 157-174
2009
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FactorY, a bioinformatic resource for genome-wide promoter analysis
Computers in Biology and Medicine, Vol. 39, Núm. 4, pp. 385-387
2008
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BCR-ABL1-induced expression of HSPA8 promotes cell survival in chronic myeloid leukaemia
British Journal of Haematology, Vol. 142, Núm. 4, pp. 571-582
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SPACE: An algorithm to predict and quantify alternatively spliced isoforms using microarrays
Genome Biology, Vol. 9, Núm. 2
2007
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Identification of a gene-pathway associated with non-alcoholic steatohepatitis
Journal of Hepatology, Vol. 46, Núm. 4, pp. 708-718
2006
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GARBAN II: an integrative framework for extracting biological information from proteomic and genomic data.
Proteomics, Vol. 6 Suppl 1
2005
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Correlation between gene expression and GO semantic similarity
IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 2, Núm. 4, pp. 330-337