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P-CSN: single-cell RNA sequencing data analysis by partial cell-specific network.
Wang, Yan ; Xuan, Chenxu ; Wu, Hanwen ; et al.
Briefings in Bioinformatics. May2023, Vol. 24 Issue 3, p1-10. 10p.
MICROARRAY DATA ANALYSIS USING NEURAL NETWORK CLASSIFIERS AND GENE SELECTION METHODS
Critical assessment of microarray data analysis; Methods of microarray data analysis IV; CAMDA
Zheng, G. ; George, E. O. ; Narasimhan, G.
:207-222
Advanced Methods of Biomedical Signal Processing
Sergio Cerutti, Editor ; Carlo Marchesi, Editor ; Sergio Cerutti ; et al.
Robust variable selection method for nonparametric differential equation models with application to nonlinear dynamic gene regulatory network analysis.
Lu, Tao
Journal of Biopharmaceutical Statistics. 2016, Vol. 26 Issue 4, p712-724. 13p. 4 Charts, 4 Graphs.
Visualization of Gene Combinations
Tominski, Christian ; Schumann, Heidrun
2008 12th International Conference Information Visualisation Information Visualisation, 2008. IV '08. 12th International Conference. :120-126 Jul, 2008
A COMBINATORIAL APPROACH TO THE ANALYSIS OF DIFFERENTIAL GENE EXPRESSION DATA
Critical assessment of microarray data analysis; Methods of microarray data analysis IV; CAMDA
Langston, M. A. ; Lin, L. ; Peng, X. ; et al.
:223-238
Viewing the Larger Context of Genomic Data through Horizontal Integration
Hibbs, Matthew ; Wallace, Grant ; Dunham, Maitreya ; et al.
2007 11th International Conference Information Visualization (IV '07) Information Visualization, 2007. IV '07. 11th International Conference. :326-334 Jul, 2007
HIGHER DIMENSIONAL APPROACH FOR CLASSIFICATION OF LUNG CANCER MICROARRAY DATA
Critical assessment of microarray data analysis; Methods of microarray data analysis IV; CAMDA
Crimins, F. ; Dimitri, R. ; Klein, T. ; et al.
:191-206
INTEGRATION OF MICROARRAY DATA FOR A COMPARATIVE STUDY OF CLASSIFIERS AND IDENTIFICATION OF MARKER GENES
Critical assessment of microarray data analysis; Methods of microarray data analysis IV; CAMDA
Berrar, D. ; Sturgeon, B. ; Bradbury, I. ; et al.
:147-162
USE OF MICROARRAY DATA VIA MODEL-BASED CLASSIFICATION IN THE STUDY AND PREDICTION OF SURVIVAL FROM LUNG CANCER
Critical assessment of microarray data analysis; Methods of microarray data analysis IV; CAMDA
Jones, L. B.-T. ; Ng, S.-K. ; Ambroise, C. ; et al.
:163-174
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Rapid bacterial identification using evanescent-waveguide oligonucleotide microarray classification
Francois, Patrice ; Charbonnier, Yvan ; Jacquet, Jean ; et al.
In Journal of Microbiological Methods 2006 65(3):390-403
ASSOCIATING MICROARRAY DATA WITH A SURVIVAL ENDPOINT
Critical assessment of microarray data analysis; Methods of microarray data analysis IV; CAMDA
Jung, S.-H. ; Owzar, K. ; George, S.
:109-120
Correlation between RNA-Seq and microarrays results using TCGA data
Chen, Li ; Sun, Fenghao ; Yang, Xiaodong ; et al.
In Gene 10 September 2017 628:200-204
A mixture model approach for the analysis of small exploratory microarray experiments
Muir, W.M. ; Rosa, G.J.M. ; Pittendrigh, B.R. ; et al.
In Computational Statistics and Data Analysis 2009 53(5):1566-1576
Development and Independent Validation of a Prognostic Gene Expression Signature Based on RB1, PTEN, and TP53 in Metastatic Hormone-sensitive Prostate Cancer Patients
Jiménez, Natalia ; Garcia de Herreros, Marta ; Reig, Òscar ; et al.
In European Urology Oncology August 2024 7(4):954-964
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