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» A framework for modelling virus gene expression data
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BMCBI
2010
154views more  BMCBI 2010»
14 years 10 months ago
Knowledge-based matrix factorization temporally resolves the cellular responses to IL-6 stimulation
Background: External stimulations of cells by hormones, cytokines or growth factors activate signal transduction pathways that subsequently induce a re-arrangement of cellular gen...
Andreas Kowarsch, Florian Blöchl, Sebastian B...
143
Voted
BMCBI
2010
171views more  BMCBI 2010»
15 years 29 days ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
84
Voted
ISBI
2008
IEEE
16 years 1 months ago
A landmark-based nonlinear elasticity model for mouse atlas registration
This paper is devoted to the registration of gene expression data to a neuroanatomical mouse atlas in two dimensions. We use a nonlinear elasticity regularization allowing large d...
Tungyou Lin, Erh-Fang Lee, Ivo D. Dinov, Carole Le...
137
Voted
CSB
2004
IEEE
135views Bioinformatics» more  CSB 2004»
15 years 4 months ago
Selection of Patient Samples and Genes for Outcome Prediction
Gene expression profiles with clinical outcome data enable monitoring of disease progression and prediction of patient survival at the molecular level. We present a new computatio...
Huiqing Liu, Jinyan Li, Limsoon Wong
95
Voted
JMLR
2006
97views more  JMLR 2006»
15 years 24 days ago
Learning Coordinate Covariances via Gradients
We introduce an algorithm that learns gradients from samples in the supervised learning framework. An error analysis is given for the convergence of the gradient estimated by the ...
Sayan Mukherjee, Ding-Xuan Zhou