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» Classification of microarray data using gene networks
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BMCBI
2006
154views more  BMCBI 2006»
15 years 4 months ago
Analysis with respect to instrumental variables for the exploration of microarray data structures
Background: Evaluating the importance of the different sources of variations is essential in microarray data experiments. Complex experimental designs generally include various fa...
Florent Baty, Michaël Facompré, Jan Wi...
BMCBI
2010
112views more  BMCBI 2010»
15 years 4 months ago
Knowledge-based analysis of microarrays for the discovery of transcriptional regulation relationships
Background: The large amount of high-throughput genomic data has facilitated the discovery of the regulatory relationships between transcription factors and their target genes. Wh...
Junhee Seok, Amit Kaushal, Ronald W. Davis, Wenzho...
129
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BMEI
2009
IEEE
15 years 5 months ago
An Improved Probabilistic Model for Finding Differential Gene Expression
Abstract--Finding differentially expressed genes is a fundamental objective of a microarray experiment. Recently proposed method, PPLR, considers the probe-level measurement error ...
Li Zhang, Xuejun Liu
147
Voted
ICDM
2006
IEEE
129views Data Mining» more  ICDM 2006»
15 years 10 months ago
Consensus Clustering for Detection of Overlapping Clusters in Microarray Data
Most clustering algorithms are partitional in nature, assigning each data point to exactly one cluster. However, several real world datasets have inherently overlapping clusters i...
Meghana Deodhar, Joydeep Ghosh
BMCBI
2005
115views more  BMCBI 2005»
15 years 4 months ago
MPrime: efficient large scale multiple primer and oligonucleotide design for customized gene microarrays
Background: Enhancements in sequencing technology have recently yielded assemblies of large genomes including rat, mouse, human, fruit fly, and zebrafish. The availability of larg...
Eric C. Rouchka, Abdelnaby Khalyfa, Nigel G. F. Co...