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BCB
2010
175views Bioinformatics» more  BCB 2010»
14 years 10 months ago
Gene set analysis using principal components
We present a new method for identifying gene sets associated with labeled samples, where the labels can be case versus control, or genotype differences. Existing approaches to thi...
Isa Kemal Pakatci, Wei Wang, Leonard McMillan
119
Voted
SODA
2010
ACM
189views Algorithms» more  SODA 2010»
16 years 19 days ago
Correlation Clustering with Noisy Input
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
Claire Mathieu, Warren Schudy
SOSP
2007
ACM
16 years 3 days ago
MUVI: automatically inferring multi-variable access correlations and detecting related semantic and concurrency bugs
Software defects significantly reduce system dependability. Among various types of software bugs, semantic and concurrency bugs are two of the most difficult to detect. This pape...
Shan Lu, Soyeon Park, Chongfeng Hu, Xiao Ma, Weiha...
NN
2007
Springer
15 years 9 months ago
Impact of Higher-Order Correlations on Coincidence Distributions of Massively Parallel Data
The signature of neuronal assemblies is the higher-order correlation structure of the spiking activity of the participating neurons. Due to the rapid progress in recording technol...
Sonja Grün, Moshe Abeles, Markus Diesmann
SIGMETRICS
2010
ACM
195views Hardware» more  SIGMETRICS 2010»
15 years 7 months ago
CWS: a model-driven scheduling policy for correlated workloads
We define CWS, a non-preemptive scheduling policy for workloads with correlated job sizes. CWS tackles the scheduling problem by inferring the expected sizes of upcoming jobs bas...
Giuliano Casale, Ningfang Mi, Evgenia Smirni