Pattern recognition methods for quantitative sequencing based transcriptomics (2009)
- Autor:
- Autor USP: VENCIO, RICARDO ZORZETTO NICOLIELLO - FMRP
- Unidade: FMRP
- Assunto: BIOINFORMÁTICA
- Language: Inglês
- Imprenta:
- Publisher place: Angra dos Reis
- Date published: 2009
- Source:
- Título: Abstracts Book
- Conference titles: International Conference of the Brazilian Association for Bioinformatics and Computational Biology
-
ABNT
VÊNCIO, Ricardo Zorzetto Nicoliello. Pattern recognition methods for quantitative sequencing based transcriptomics. 2009, Anais.. Angra dos Reis: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, 2009. . Acesso em: 28 jan. 2026. -
APA
Vêncio, R. Z. N. (2009). Pattern recognition methods for quantitative sequencing based transcriptomics. In Abstracts Book. Angra dos Reis: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. -
NLM
Vêncio RZN. Pattern recognition methods for quantitative sequencing based transcriptomics. Abstracts Book. 2009 ;[citado 2026 jan. 28 ] -
Vancouver
Vêncio RZN. Pattern recognition methods for quantitative sequencing based transcriptomics. Abstracts Book. 2009 ;[citado 2026 jan. 28 ] - Processing of voided urine for prostate cancer RNA biomarker analysis
- Conditional deletion of ELL2 induces murine prostate intraepithelial neoplasia
- Searching of functional ncRNAs in the archaeon Halobacterium salinarum by genetic perturbation: Lsm chaperone knockout strain transcriptome
- First steps on the pipe-line for probabilistic annotation of sugar cane metabolome
- Convergence analysis of a new self organizing map based optimization (SOMO) algorithm
- Reprogramming of prostate cancer-associated stromal cells to embryonic stem-like
- Differential inductive signaling of 'CD90 POT.+' prostate cancer-associated fibroblasts compared to normal tissue stromal mesenchyme cells
- Identification of organ-specific prostate stromal cell genes - their expression is down-regulated in cancer-associated stromal cells
- Gene expression relationship between prostate cancer cells of Gleason 3, 4 and normal epithelial cells as revealed by cell type-specific transcriptomes
- Lineage relationship of prostate cancer cell types based on gene expression
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