CoGAPS: an R/C++ package to identify patterns and biological process activity in transcriptomic data.
about
Identifying context-specific transcription factor targets from prior knowledge and gene expression dataA review on machine learning principles for multi-view biological data integration.PatternMarkers & GWCoGAPS for novel data-driven biomarkers via whole transcriptome NMF.A new analysis approach of epidermal growth factor receptor pathway activation patterns provides insights into cetuximab resistance mechanisms in head and neck cancerUnsupervised Bayesian linear unmixing of gene expression microarraysThe non-negative matrix factorization toolbox for biological data mining.Preferential activation of the hedgehog pathway by epigenetic modulations in HPV negative HNSCC identified with meta-pathway analysisCoGAPS matrix factorization algorithm identifies transcriptional changes in AP-2alpha target genes in feedback from therapeutic inhibition of the EGFR network.Updating annotations with the distributed annotation system and the automated sequence annotation pipelineDynamic modeling and network approaches for omics time course data: overview of computational approaches and applications.Computational dynamic approaches for temporal omics data with applications to systems medicineToward Signaling-Driven Biomarkers Immune to Normal Tissue ContaminationPreserving biological heterogeneity with a permuted surrogate variable analysis for genomics batch correction.Gene expression signatures modulated by epidermal growth factor receptor activation and their relationship to cetuximab resistance in head and neck squamous cell carcinoma.Integrated time course omics analysis distinguishes immediate therapeutic response from acquired resistance.Matrix Factorization for Transcriptional Regulatory Network Inference
P2860
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P2860
CoGAPS: an R/C++ package to identify patterns and biological process activity in transcriptomic data.
description
2010 nî lūn-bûn
@nan
2010 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
CoGAPS: an R/C++ package to id ...... tivity in transcriptomic data.
@ast
CoGAPS: an R/C++ package to id ...... tivity in transcriptomic data.
@en
type
label
CoGAPS: an R/C++ package to id ...... tivity in transcriptomic data.
@ast
CoGAPS: an R/C++ package to id ...... tivity in transcriptomic data.
@en
prefLabel
CoGAPS: an R/C++ package to id ...... tivity in transcriptomic data.
@ast
CoGAPS: an R/C++ package to id ...... tivity in transcriptomic data.
@en
P2093
P2860
P356
P1433
P1476
CoGAPS: an R/C++ package to id ...... tivity in transcriptomic data.
@en
P2093
Alexander V Favorov
Giovanni Parmigiani
Michael F Ochs
P2860
P304
P356
10.1093/BIOINFORMATICS/BTQ503
P407
P577
2010-09-01T00:00:00Z