Gene Expression Signatures Based on Variability can Robustly Predict Tumor Progression and Prognosis.

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Epigenetic modulators, modifiers and mediators in cancer aetiology and progression GSAR: Bioconductor package for Gene Set analysis in R Extracting the Strongest Signals from Omics Data: Differentially Expressed Pathways and Beyond.Digitizing omics profiles by divergence from a baseline.

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Gene Expression Signatures Based on Variability can Robustly Predict Tumor Progression and Prognosis.

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Gene Expression Signatures Bas ...... mor Progression and Prognosis.

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Gene Expression Signatures Bas ...... mor Progression and Prognosis.

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Gene Expression Signatures Bas ...... mor Progression and Prognosis.

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Gene Expression Signatures Bas ...... mor Progression and Prognosis.

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Wikum Dinalankara

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Diagnosis of multiple cancer types by shrunken centroids of gene expression

DNA methylation landscapes: provocative insights from epigenomics

Evaluation of microarray preprocessing algorithms based on concordance with RT-PCR in clinical samples.

Modeling oncogenic signaling in colon tumors by multidirectional analyses of microarray data directed for maximization of analytical reliability

The DNA methylome of human peripheral blood mononuclear cells

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71-81

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scholarly article

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10.4137/CIN.S23862

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Héctor Corrada Bravo

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2015-06-07T00:00:00Z

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Gene Expression Signatures Based on Variability can Robustly Predict Tumor Progression and Prognosis.

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Gene Expression Signatures Based on Variability can Robustly Predict Tumor Progression and Prognosis.

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