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DKE
2008
79views more  DKE 2008»
15 years 6 months ago
Extracting k most important groups from data efficiently
We study an important data analysis operator, which extracts the k most important groups from data (i.e., the k groups with the highest aggregate values). In a data warehousing co...
Man Lung Yiu, Nikos Mamoulis, Vagelis Hristidis
BMCBI
2010
100views more  BMCBI 2010»
15 years 6 months ago
Trimming of mammalian transcriptional networks using network component analysis
Background: Network Component Analysis (NCA) has been used to deduce the activities of transcription factors (TFs) from gene expression data and the TF-gene binding relationship. ...
Linh M. Tran, Daniel R. Hyduke, James C. Liao
ICSE
2009
IEEE-ACM
16 years 1 months ago
Using quantitative analysis to implement autonomic IT systems
The software underpinning today’s IT systems needs to adapt dynamically and predictably to rapid changes in system workload, environment and objectives. We describe a software f...
Radu Calinescu, Marta Z. Kwiatkowska
BIBM
2009
IEEE
155views Bioinformatics» more  BIBM 2009»
16 years 1 months ago
Towards Reliable Isoform Quantification Using RNA-Seq Data
Background: In eukaryotes, alternative splicing often generates multiple splice variants from a single gene. Here weexplore the use of RNA sequencing (RNA-Seq) datasets to address...
Brian E. Howard, Steffen Heber
NAACL
2003
15 years 8 months ago
Discriminating Among Word Senses Using McQuitty's Similarity Analysis
This paper presents an unsupervised method for discriminating among the senses of a given target word based on the context in which it occurs. Instances of a word that occur in si...
Amruta Purandare