Limma Package
Mostrando 1-5 de 5 artigos, teses e dissertações.
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1. Urethral reconstruction and genitoplasty highlighted in International Brazilian Journal of Urology
ABSTRACT Objective: Interstitial cystitis (IC)/bladder pain syndrome (BPS) is a chronic inflammatory disease that can cause bladder pain and accompanying symptoms, such as long-term urinary frequency and urgency. IC/BPS can be ulcerative or non-ulcerative. The aim of this study was to explore the core genes involved in the pathogenesis of ulcerative IC, and
Int. braz j urol.. Publicado em: 2021-08
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2. Exploration of the core genes in ulcerative interstitial cystitis/bladder pain syndrome
ABSTRACT Objective: Interstitial cystitis (IC)/bladder pain syndrome (BPS) is a chronic inflammatory disease that can cause bladder pain and accompanying symptoms, such as long-term urinary frequency and urgency. IC/BPS can be ulcerative or non-ulcerative. The aim of this study was to explore the core genes involved in the pathogenesis of ulcerative IC, and
Int. braz j urol.. Publicado em: 2021-08
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3. Analyzing gene expression profiles in dilated cardiomyopathy via bioinformatics methods
Dilated cardiomyopathy (DCM) is characterized by ventricular dilatation, and it is a common cause of heart failure and cardiac transplantation. This study aimed to explore potential DCM-related genes and their underlying regulatory mechanism using methods of bioinformatics. The gene expression profiles of GSE3586 were downloaded from Gene Expression Omnibus
Braz J Med Biol Res. Publicado em: 10/10/2016
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4. Gene expression study in citrus using linear models / Estudo de expressão gênica em citros utilizando modelos lineares
Neste trabalho apresenta-se uma revisão da metodologia de experimentos de microarray relativas a sua instalação e análise estatística dos dados obtidos. A seguir, aplica-se essa metodologia na análise de dados de expressão gênica em citros, gerados por um experimento de macroarray, utilizando modelos lineares de efeitos fixos considerando a inclusão
Publicado em: 2010
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5. Normalization and Statistical Analysis of Quantitative Proteomics Data Generated by Metabolic Labeling*
Comparative proteomics is a powerful analytical method for learning about the responses of biological systems to changes in growth parameters. To make confident inferences about biological responses, proteomics approaches must incorporate appropriate statistical measures of quantitative data. In the present work we applied microarray-based normalization and
The American Society for Biochemistry and Molecular Biology.