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Identification of key pathways and genes in TP53 mutation acute myeloid leukemia: evidence from bioinformatics analysis

OncoTargets and Therapy · 2017 · 25 citations · 58 references

Open access

Abstract

Our findings have indicated that multiple genes and pathways may play a crucial role in TP53 mutation AML, offering candidate targets and strategies for TP53 mutation AML individualized treatment.

References

58

Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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

Aravind Subramanian, Pablo Tamayo, Vamsi K. Mootha et al. · Proceedings of the National Academy of Sciences · 2005 · 54.5K citations · Full text

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<tt>edgeR</tt> : a Bioconductor package for differential expression analysis of digital gene expression data

Mark D. Robinson, Davis J. McCarthy, Gordon K. Smyth · Bioinformatics · 2009 · 42.7K citations · Full text

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Da Wei Huang, Brad T. Sherman, Richard A. Lempicki · Nature Protocols · 2008 · 36.7K citations

Biology, Functional Genomics, Large Gene Lists +15

The cBio Cancer Genomics Portal: An Open Platform for Exploring Multidimensional Cancer Genomics Data

Ethan Cerami, Jianjiong Gao, Uğur Doğrusöz et al. · Cancer Discovery · 2012 · 17.9K citations · Full text

Identification of key pathways and genes in &lt;em&gt;TP53 &lt;/em&gt;mutation acute myeloid leukemia: evidence from bioinformatics analysis

Abstract

References

Identification of key pathways and genes in <em>TP53 </em>mutation acute myeloid leukemia: evidence from bioinformatics analysis