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» Analyzing time series gene expression data
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KDD
2009
ACM
230views Data Mining» more  KDD 2009»
14 years 1 months ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
BMCBI
2010
154views more  BMCBI 2010»
13 years 6 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...
FGR
2004
IEEE
149views Biometrics» more  FGR 2004»
14 years 17 days ago
Authentic Facial Expression Analysis
It is argued that for the computer to be able to interact with humans, it needs to have the communication skills of humans. One of these skills is the ability to understand the em...
Nicu Sebe, Michael S. Lew, Ira Cohen, Yafei Sun, T...
BMCBI
2006
105views more  BMCBI 2006»
13 years 9 months ago
Integrative investigation of metabolic and transcriptomic data
Background: New analysis methods are being developed to integrate data from transcriptome, proteome, interactome, metabolome, and other investigative approaches. At the same time,...
Pinar Pir, Betül Kirdar, Andrew Hayes, Z. Ils...
JIB
2010
107views more  JIB 2010»
13 years 3 months ago
Integration of -omics data and networks for biomedical research with VANTED
Increasingly, research focus in the fields of biology and medicine moves from the investigation of single phenomena to the analysis of complex cause and effect relationships. The ...
Christian Klukas, Falk Schreiber