Results 21 to 30 of about 3,887,902 (293)
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
core +1 more source
Microbes and Infection, 2000 Microarrays are one of the latest breakthroughs in experimental molecular biology, which allow monitoring of gene expression for tens of thousands of genes in parallel and are already producing huge amounts of valuable data. Analysis and handling of such data is becoming one of the major bottlenecks in the utilization of the technology.
Brazma, Alvis, Vilo, Jaak
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Categorical Data Analysis for High-Dimensional Sparse Gene Expression Data
BioTech, 2023 Categorical data analysis becomes challenging when high-dimensional sparse covariates are involved, which is often the case for omics data. We introduce a statistical procedure based on multinomial logistic regression analysis for such scenarios ...
Niloufar Dousti Mousavi +2 more
doaj +1 more source
, 2008 This report contains a gene expression summary of the CA2 pyramidal cell layer (CA2sp), derived from the Allen Brain Atlas (ABA) in situ hybridization mouse data set.
Allen Institute for Brain Science +3 more
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BMC Bioinformatics, 2017 Background sgnesR (Stochastic Gene Network Expression Simulator in R) is an R package that provides an interface to simulate gene expression data from a given gene network using the stochastic simulation algorithm (SSA).
Shailesh Tripathi +5 more
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Anterior Olfactory Nucleus [PDF]
, 2008 This report contains a gene expression summary of the anterior olfactory nucleus (AON), derived from the Allen Brain Atlas (ABA) in situ hybridization mouse data set.
Allen Institute for Brain Science +3 more
core +2 more sources
Interactive Analysis, Exploration, and Visualization of RNA-Seq Data with SeqCVIBE
Methods and Protocols, 2022 The rise of modern gene expression profiling techniques, such as RNA-Seq, has generated a wealth of high-quality datasets spanning all fields of current biological research.
Efthimios Bothos +2 more
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Identification of transcriptional regulatory networks specific to pilocytic astrocytoma. [PDF]
, 2011 BackgroundPilocytic Astrocytomas (PAs) are common low-grade central nervous system malignancies for which few recurrent and specific genetic alterations have been identified.
Deshmukh, Hrishikesh +8 more
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A Microarray Data Pre-processing Method for Cancer Classification
JOIV: International Journal on Informatics Visualization, 2022 The development of microarray technology has led to significant improvements and research in various fields. With the help of machine learning techniques and statistical methods, it is now possible to organize, analyze, and interpret large amounts of ...
Tay Xin Hui +5 more
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Discretization of gene expression data revised [PDF]
Briefings in Bioinformatics, 2015 Gene expression measurements represent the most important source of biological data used to unveil the interaction and functionality of genes. In this regard, several data mining and machine learning algorithms have been proposed that require, in a number of cases, some kind of data discretization to perform the inference.
Gallo, Cristian Andrés +4 more
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