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» Comparing transformation methods for DNA microarray data
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CSB
2005
IEEE
205views Bioinformatics» more  CSB 2005»
15 years 7 months ago
Fractal Clustering for Microarray Data Analysis
DNA microarray experiments generate a substantial amount of information about global gene expression. Gene expression profiles can be represented as points in multi-dimensional sp...
Lu-Yong Wang, Ammaiappan Balasubramanian, Amit Cha...
142
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BMCBI
2007
149views more  BMCBI 2007»
15 years 1 months ago
Robust imputation method for missing values in microarray data
Background: When analyzing microarray gene expression data, missing values are often encountered. Most multivariate statistical methods proposed for microarray data analysis canno...
Dankyu Yoon, Eun-Kyung Lee, Taesung Park
BIOCOMP
2007
15 years 3 months ago
Biomarker Discovery Across Annotated and Unannotated Microarray Datasets Using Semi-Supervised Learning
The growing body of DNA microarray data has the potential to advance our understanding of the molecular basis of disease. However annotating microarray datasets with clinically us...
Cole Harris, Noushin Ghaffari
BIOINFORMATICS
2006
89views more  BIOINFORMATICS 2006»
15 years 2 months ago
Maximum significance clustering of oligonucleotide microarrays
Affymetrix high-density oligonucleotide microarrays measure expression of DNA transcripts using probesets, i.e. multiple probes per transcript. Usually, these multiple measurement...
Dick de Ridder, Frank J. T. Staal, Jacques J. M. v...
BMCBI
2005
133views more  BMCBI 2005»
15 years 1 months ago
Ab initio identification of putative human transcription factor binding sites by comparative genomics
Background: Understanding transcriptional regulation of gene expression is one of the greatest challenges of modern molecular biology. A central role in this mechanism is played b...
Davide Corà, Carl Herrmann, Christoph Diete...