Results 11 to 20 of about 31,723,480 (301)
M-quantile regression analysis of temporal gene expression data [PDF]
, 2009 In this paper, we explore the use of M-regression and M-quantile coefficients to detect statistical differences between temporal curves that belong to different experimental conditions.
Vinciotti, V, Yu, K
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Towards data grids for microarray expression profiles [PDF]
, 2006 The UK DTI funded Biomedical Research Informatics Delivered by Grid Enabled Services (BRIDGES) project developed a Grid infrastructure through which research into the genetic causes of hypertension could be supported by scientists within the large ...
Bayliss, C. +3 more
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Gene expression data preprocessing [PDF]
Bioinformatics, 2003 Abstract Summary: We present an interactive web tool for preprocessing microarray gene expression data. It analyses the data, suggests the most appropriate transformations and proceeds with them after user agreement. The normal preprocessing steps include scale transformations, management of missing values, replicate handling, flat ...
Javier Herrero +2 more
openaire +3 more sources
Ensemble machine learning on gene expression data for cancer classification [PDF]
, 2003 Whole genome RNA expression studies permit systematic approaches to understanding the correlation between gene expression profiles to disease states or different developmental stages of a cell.
Tan, A C, Gilbert, D
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, 2022 The gene expression data from the RNA-sequencing experiment.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE.
Seo, E (via Mendeley Data) +1 more
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BMC Genomics, 2017 Background High-grade serous ovarian carcinoma (HG-SOC) is the dominant tumor histologic type in epithelial ovarian cancers, exhibiting highly aberrant microRNA expression profiles and diverse pathways that collectively determine the disease ...
Vladimir A. Kuznetsov +2 more
doaj +1 more source
Techniques for clustering gene expression data [PDF]
, 2008 Many clustering techniques have been proposed for the analysis of gene expression data obtained from microarray experiments. However, choice of suitable method(s) for a given experimental dataset is not straightforward. Common approaches do not translate
Kerr, Gráinne +7 more
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Pre-adult exposure to three heavy metals leads to changes in the head transcriptome of adult flies
microPublication Biology, 2022 We examined the effect of developmental exposure to three heavy metals - cadmium, copper, and lead - on gene expression in adult head tissue in the model organism Drosophila melanogaster. All metals affected development time and/or gene expression level.
Kenton R Felmlee +2 more
doaj +1 more source
GO for Integration of Expression Data
In Silico Biology: Journal of Biological Systems Modeling and Multi-Scale Simulation, 2012 The low reproducibility of differential expression of individual genes in microarray experiments has led to the suggestion that experiments be analyzed in terms of gene characteristics, such as GO categories or pathways, in order to enhance the robustness of the results.
Dikla Dotan-Cohen +4 more
openaire +2 more sources