Results 21 to 30 of about 3,651,834 (302)

Revealing novel biomarkers involved in development and progression of gastric cancer by comprehensive bioinformatics analysis

open access: yesInformatics in Medicine Unlocked, 2021
Gastric cancer (GC) is the third cause of cancer mortality in the world but the molecular mechanisms underlying the pathogenesis of GC remain little known.
Homa Akhavan   +3 more
doaj   +1 more source

MODELING GENE EXPRESSION WITH DIFFERENTIAL EQUATIONS [PDF]

open access: yesBiocomputing '99, 1998
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]

open access: yesAlexandria Dental Journal
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

Hybridization and gene expression: Beyond differentially expressed genes [PDF]

open access: yesMolecular Ecology
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

Bayesian Modeling of Differential Gene Expression [PDF]

open access: yesBiometrics, 2005
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

Identification of Key Genes Between Lung Adenocarcinoma and Lung Squamous Cell Carcinoma by Bioinformatics Analysis [PDF]

open access: yesAdvanced Ultrasound in Diagnosis and Therapy, 2020
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

Differential Cellular Gene Expression in Ganglioglioma [PDF]

open access: yesEpilepsia, 2007
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

Identification of key genes and miRNAs related to polycystic ovary syndrome by comprehensive analysis of microarray

open access: yesBMC Medical Genomics, 2022
Background We aimed to explore mechanisms of development and progression of polycystic ovary syndrome (PCOS). Methods The microRNA expression microarray GSE37914 and gene expression profiles GSE43264 and GSE98421 were downloaded from the Gene Expression ...
Ziqian Sun   +3 more
doaj   +1 more source

Differentially-expressed genes (DEGs) detected at FDR < 0.05.

open access: yes, 2023
Differentially-expressed genes (DEGs) detected at FDR < 0.05.
Daniel M. Kerr (9745666)   +7 more
core   +1 more source

Data-driven detection of subtype-specific differentially expressed genes

open access: yesScientific Reports, 2021
Among multiple subtypes of tissue or cell, subtype-specific differentially-expressed genes (SDEGs) are defined as being most-upregulated in only one subtype but not in any other. Detecting SDEGs plays a critical role in the molecular characterization and
Lulu Chen   +7 more
doaj   +1 more source

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