Detalhe da pesquisa
1.
gEM/GANN: A multivariate computational strategy for auto-characterizing relationships between cellular and clinical phenotypes and predicting disease progression time using high-dimensional flow cytometry data.
Cytometry A
; 87(7): 616-23, 2015 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-25572884
2.
The 'analysis of gene expression and biomarkers for point-of-care decision support in Sepsis' study; temporal clinical parameter analysis and validation of early diagnostic biomarker signatures for severe inflammation andsepsis-SIRS discrimination.
Front Immunol
; 14: 1308530, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-38332914
3.
Development of a Bioinformatics Framework for Identification and Validation of Genomic Biomarkers and Key Immunopathology Processes and Controllers in Infectious and Non-infectious Severe Inflammatory Response Syndrome.
Front Immunol
; 11: 380, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-32318053
4.
Artificial neural network inference (ANNI): a study on gene-gene interaction for biomarkers in childhood sarcomas.
PLoS One
; 9(7): e102483, 2014.
Artigo
em Inglês
| MEDLINE | ID: mdl-25025207
5.
Hybrid genetic algorithm-neural network: feature extraction for unpreprocessed microarray data.
Artif Intell Med
; 53(1): 47-56, 2011 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-21775110