Partition Decoupling for Multi-gene Analysis of Gene Expression Profiling Data [PDF]
, 2011 We present the extention and application of a new unsupervised statistical learning technique--the Partition Decoupling Method--to gene expression data.
Braun, Rosemary +3 more
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Stochastic neural network models for gene regulatory networks [PDF]
, 2003 Recent advances in gene-expression profiling technologies provide large amounts of gene expression data. This raises the possibility for a functional understanding of genome dynamics by means of mathematical modelling.
Burrage, K., Tian, T.
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Using transcriptomics to guide lead optimization in drug discovery projects : lessons learned from the QSTAR project [PDF]
, 2015 The pharmaceutical industry is faced with steadily declining R&D efficiency which results in fewer drugs reaching the market despite increased investment.
Bender, Andreas +10 more
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Viral expression and molecular profiling in liver tissue versus microdissected hepatocytes in hepatitis B virus - associated hepatocellular carcinoma. [PDF]
, 2014 Background: The molecular mechanisms whereby hepatitis B virus (HBV) induces hepatocellular carcinoma (HCC) remain elusive. We used genomic and molecular techniques to investigate host-virus interactions by studying multiple areas of the same liver from
Becker S +16 more
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The MBD7 complex promotes expression of methylated transgenes without significantly altering their methylation status. [PDF]
, 2017 DNA methylation is associated with gene silencing in eukaryotic organisms. Although pathways controlling the establishment, maintenance and removal of DNA methylation are known, relatively little is understood about how DNA methylation influences gene ...
Chen, Xuemei +20 more
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Gene expression profiling to study racial differences after heart transplantation. [PDF]
, 2015 BackgroundThe basis for increased mortality after heart transplantation in African Americans and other non-Caucasian racial groups is poorly defined. We hypothesized that increased risk of adverse events is driven by biologic factors.
Anderson, Allen S +12 more
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Gene expression profiling: methods and protocols
European Journal of Histochemistry, 2012 There must be some good reasons to last for a second edition on the very same topic: likely, the topic is crucial to basic and applied science, it is a very rapid evolving topic and there must occurred some breakthroughs meanwhile the two editions. Well,
Manuela Monti
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Digital gene expression analysis of the zebra finch genome [PDF]
, 2010 Background: In order to understand patterns of adaptation and molecular evolution it is important to quantify both variation in gene expression and nucleotide sequence divergence.
Balakrishnan, C.N. +3 more
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Gene Expression Profiling via Multigene Concatemers.
PLoS ONE, 2011 We established a novel method, Gene Expression Profiling via Multigene Concatemers (MgC-GEP), to study multigene expression patterns simultaneously.
Kai Jin, Xiaoli Zheng, Yuxian Xia
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Gene Expression Profiling and Outcome Prediction in Non-Hodgkin Lymphoma [PDF]
, 2006 Gene expression profiling with microarrays has provided new insights into the molecular biology of tumors can that underlie differences in responses to therapy and patient outcomes. In diffuse large B-cell lymphoma, gene expression profiling has revealed
Dave +6 more
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