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The top left corner) Expression values of over-expressed/hypo-methylated vDEGs-DMGs. The bottom left corner) Expression values of under-expressed/hyper-methylated vDEGs-DMGs.
Amir Mehrgou (12295124) +1 more
core +1 more source
Hybridization and gene expression: Beyond differentially expressed genes [PDF]
AbstractGene expression has a key role in reproductive isolation, and studies of hybrid gene expression have identified mechanisms causing hybrid sterility. Here, we review the evidence for altered gene expression following hybridization and outline the mechanisms shown to contribute to altered gene expression in hybrids. Transgressive gene expression,
Runemark, Anna +2 more
openaire +2 more sources
MODELING GENE EXPRESSION WITH DIFFERENTIAL EQUATIONS [PDF]
We propose a differential equation model for gene expression and provide two methods to construct the model from a set of temporal data. We model both transcription and translation by kinetic equations with feedback loops from translation products to transcription. Degradation of proteins and mRNAs is also incorporated.
Ting Chen +2 more
openaire +3 more sources
Bioinformatics analysis: A roadmap to an aggressiveness model for Oral Squamous cell carcinoma key differentiated genes [PDF]
IntroductionBioinformatics is a cross-disciplinary research field that combines computer science with biological science. The most fundamental yet frequently most impactful application of bioinformatics analysis is identifying variations in gene ...
Heba Mady +4 more
doaj +1 more source
Identification of Key Genes Between Lung Adenocarcinoma and Lung Squamous Cell Carcinoma by Bioinformatics Analysis [PDF]
Objective: To explore differentially expressed genes (DEGs) between lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC).Methods: Based on GEO database, we used R software to identify the DEGs and conducted the bioinformatics analysis to ...
Jinru Xue, MS, Yu Yang, MS, Bo Jiang, MD, Linxue Qian, MD, Xian-Quan Shi, PhD
doaj +1 more source
Bayesian Modeling of Differential Gene Expression [PDF]
Summary We present a Bayesian hierarchical model for detecting differentially expressing genes that includes simultaneous estimation of array effects, and show how to use the output for choosing lists of genes for further investigation. We give empirical evidence that expression‐level dependent array effects are needed, and explore different nonlinear ...
Lewin, Alex +4 more
openaire +2 more sources
Iterative Group Analysis (iGA): A simple tool to enhance sensitivity and facilitate interpretation of microarray experiments [PDF]
BACKGROUND: The biological interpretation of even a simple microarray experiment can be a challenging and highly complex task. Here we present a new method (Iterative Group Analysis) to facilitate, improve, and accelerate this process.
Amtmann, A. +8 more
core +1 more source
Differential Cellular Gene Expression in Ganglioglioma [PDF]
Summary: Purpose: Gangliogliomas (GGs) are neuronal‐glial tumors highly associated with epilepsy. We hypothesized that the expression of select gene families including neurotransmitter receptor subunits and growth factors would be distinct in neurons and astrocytes within GG compared with adjacent cortex and that these changes would yield insights into
Samadani, Uzma +4 more
openaire +2 more sources
Differential Gene Expression and Aging [PDF]
It has been established that an intricate program of gene expression controls progression through the different stages in development. The equally complex biological phenomenon known as aging is genetically determined and environmentally modulated.
openaire +3 more sources
Background Ginkgo (Ginkgo biloba L.) is an excellent landscape species. Its yellow-green leaf mutants are ideal materials for research on pigment synthesis, but the regulatory mechanism of leaf coloration in these ginkgo mutants remains unclear.
Yaqiong Wu +4 more
doaj +1 more source

