Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clustering.
about
Identification of single- and multiple-class specific signature genes from gene expression profiles by group marker indexBiomarker Discovery Based on Hybrid Optimization Algorithm and Artificial Neural Networks on Microarray Data for Cancer Classification.Discovery of dominant and dormant genes from expression data using a novel generalization of SNR for multi-class problems.Whole-exome sequencing identifies a recurrent NAB2-STAT6 fusion in solitary fibrous tumorsLongitudinal Metabolomics Profiling of Parkinson's Disease-Related α-Synuclein A53T Transgenic Mice.Increased Expression of Eps15 Homology Domain 1 is Associated with Poor Prognosis in Resected Small Cell Lung Cancer.In-silico interaction-resolution pathway activity quantification and application to identifying cancer subtypes.Kernel Based Nonlinear Dimensionality Reduction and Classification for Genomic Microarray.Diagnostic and prognostic sarcoma signatures.Human cell structure-driven model construction for predicting protein subcellular location from biological images.Modeling regulatory cascades using Artificial Neural Networks: the case of transcriptional regulatory networks shaped during the yeast stress response.Evaluation of suitable reference genes for gene expression studies in bovine muscular tissue.
P2860
Q28476766-E775B534-421D-47BE-B228-6C1D2B4EB7C2Q30977296-3E81A791-B8A8-4E8A-8041-24BEB26FA8ADQ33374663-86C9FB43-F723-4644-A7DF-D15553FEAE2FQ33405273-77D26A06-FEE8-4017-8F33-E77A0EB5B487Q35759141-E60D8BA9-4423-4EDE-9D8B-5A99521F1851Q36048506-38E5834A-4A71-4833-906A-B5D8114A0B0BQ36084868-F0A1E7F2-510C-41D0-ACD1-443F35211B17Q36969278-23846163-31FA-4D16-850F-627C6B34742FQ37335373-FF92D4DC-1D97-4149-81D1-1E7FD05930A1Q40546656-1B2DD6E3-C2A8-45AC-90B8-30C980C53E28Q41962991-2DDA355E-17DE-4E10-9A32-DD076C5541D7Q43111668-1BE74DBD-D1D4-4094-BB12-EEBEA85075A5
P2860
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clustering.
description
2007 nî lūn-bûn
@nan
2007 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Discovering biomarkers from ge ...... d relational fuzzy clustering.
@ast
Discovering biomarkers from ge ...... d relational fuzzy clustering.
@en
type
label
Discovering biomarkers from ge ...... d relational fuzzy clustering.
@ast
Discovering biomarkers from ge ...... d relational fuzzy clustering.
@en
prefLabel
Discovering biomarkers from ge ...... d relational fuzzy clustering.
@ast
Discovering biomarkers from ge ...... d relational fuzzy clustering.
@en
P2093
P2860
P356
P1433
P1476
Discovering biomarkers from ge ...... d relational fuzzy clustering.
@en
P2093
Animesh Sharma
Kripamoy Aguan
Nikhil R Pal
P2860
P2888
P356
10.1186/1471-2105-8-5
P577
2007-01-06T00:00:00Z
P5875
P6179
1048344717