Machine Learning's Techniques applied in the study of th profiles of particular and common gene expression of autoimmune diseases and cancer (2008)
- Authors:
- USP affiliated authors: GIULIATTI, SILVANA - FMRP ; PASSOS JUNIOR, GERALDO ALEIXO DA SILVA - FORP
- Unidades: FMRP; FORP
- Subjects: AUTOIMUNIDADE; NEOPLASIAS
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Program
- Conference titles: Official Conference of The International Society for Computational Biology
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ABNT
PINTO, Beatriz Jeronimo et al. Machine Learning's Techniques applied in the study of th profiles of particular and common gene expression of autoimmune diseases and cancer. 2008, Anais.. Toronto: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, 2008. . Acesso em: 28 mar. 2024. -
APA
Pinto, B. J., Junta, C. M., Passos, G. A. S., & Giuliatti, S. (2008). Machine Learning's Techniques applied in the study of th profiles of particular and common gene expression of autoimmune diseases and cancer. In Program. Toronto: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. -
NLM
Pinto BJ, Junta CM, Passos GAS, Giuliatti S. Machine Learning's Techniques applied in the study of th profiles of particular and common gene expression of autoimmune diseases and cancer. Program. 2008 ;[citado 2024 mar. 28 ] -
Vancouver
Pinto BJ, Junta CM, Passos GAS, Giuliatti S. Machine Learning's Techniques applied in the study of th profiles of particular and common gene expression of autoimmune diseases and cancer. Program. 2008 ;[citado 2024 mar. 28 ] - MicroRNA-mRNA network controlling the promiscuous gene expression in the thymus of NOD (Non Obese Diabetic) mice: implications in the emergence of type 1 diabetes mellitus
- Differentially expressed genes in microarray analysis of rheumatoid arthritis disease
- Prediction in silico of molecular mimicry betwen microorganisms epitopes and human autoantigens
- What is the transcriptome and how it is evaluated?
- Gene expression analysis using artificial intelligent techniques
- Differentially expressed genes in microarray analysis of rheumatoid arthritis disease
- What is the transcriptome and how it is evaluated
- Aire disruption influences the medullary thymic epithelial cell transcriptome and interaction with thymocytes
- Sistema ARIA: artrite reumatóide e inteligência artificial na análise de ados clínicos e de expressão gênica
- Sequence analysis to find microRNAs binding sites in HLA-G 3´UTR region
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