Whole transcriptome analysis identifies differentially regulated networks between osteosarcoma and normal bone samples.

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Whole transcriptome analysis identifies differentially regulated networks between osteosarcoma and normal bone samples.

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Whole transcriptome analysis i ...... rcoma and normal bone samples.

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Whole transcriptome analysis i ...... rcoma and normal bone samples.

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Whole transcriptome analysis i ...... rcoma and normal bone samples.

@en

Whole transcriptome analysis i ...... rcoma and normal bone samples.

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Whole transcriptome analysis i ...... rcoma and normal bone samples.

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Whole transcriptome analysis i ...... rcoma and normal bone samples.

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P1476

Whole transcriptome analysis i ...... arcoma and normal bone samples

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P2093

Aare Märtson

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Ele Prans

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Gea Kõks

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Hoang G Nguyen

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Katre Maasalu

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Le H Trinh

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Nghi Tn Le

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Phuong Phung

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Sulev Kõks

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Van H Nguyen

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P2860

Differential expression analysis for sequence count data

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation

Gene function analysis in osteosarcoma based on microarray gene expression profiling

Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

Meta-analysis of differentially expressed genes in osteosarcoma based on gene expression data.

Sequence biases in large scale gene expression profiling data.

Incidence and survival of malignant bone sarcomas in England 1979-2007.

Osteosarcoma incidence and survival rates from 1973 to 2004: data from the Surveillance, Epidemiology, and End Results Program

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1802-1811

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scholarly article

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10.1177/1535370217736512

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P433

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P478

242

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Ene Reimann

Xuan Dung Ho

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2017-10-19T00:00:00Z

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29050494

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transcriptome

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5714151

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