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TSP
2010
12 years 12 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...
DATE
2006
IEEE
142views Hardware» more  DATE 2006»
13 years 11 months ago
Droplet routing in the synthesis of digital microfluidic biochips
same level of system-level CAD support that is now commonplace in the IC industry.Recent advances in microfluidics are expected to lead to sensor systems for high-throughput bioche...
Fei Su, William L. Hwang, Krishnendu Chakrabarty
BMCBI
2008
153views more  BMCBI 2008»
13 years 5 months ago
Estimating the size of the solution space of metabolic networks
Background: Cellular metabolism is one of the most investigated system of biological interactions. While the topological nature of individual reactions and pathways in the network...
Alfredo Braunstein, Roberto Mulet, Andrea Pagnani
BMCBI
2006
149views more  BMCBI 2006»
13 years 5 months ago
HeatMapper: powerful combined visualization of gene expression profile correlations, genotypes, phenotypes and sample characteri
Background: Accurate interpretation of data obtained by unsupervised analysis of large scale expression profiling studies is currently frequently performed by visually combining s...
Roel G. W. Verhaak, Mathijs A. Sanders, Maarten A....
BMCBI
2010
113views more  BMCBI 2010»
13 years 4 months ago
Probabilistic Principal Component Analysis for Metabolomic Data
Background: Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique fo...
Gift Nyamundanda, Lorraine Brennan, Isobel Claire ...