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SPACE: an algorithm to predict and quantify alternatively spliced isoforms using microarrays
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DOI：10.1186/gb-2008-9-2-r46.png)
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Abstract
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Exon and exon+junction microarrays are promising tools to study alternative splicing (AS). Current analytical tools applied to these arrays lack two relevant features: ability to predict unknown spliced forms and quantify the concentration of known and unknown isoforms. SPACE is an algorithm developed to 1) estimate the number of different transcripts expressed in several conditions, 2) predict the pre-mRNA splicing structure and 3) quantify the transcript concentrations including unknown forms. Results show its robustness and accuracy for real and simulated data.
Keywords:
NONNEGATIVE MATRIX FACTORIZATION
OLIGONUCLEOTIDE ARRAYS
IDENTIFICATION
VARIANTS
MODEL
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A microarray configuration to quantify expression levels and relative abundance of splice variants.png)
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