Gene Co-expression Network and Copy Number Variation Analyses Identify Transcription Factors Associated With Multiple Myeloma Progression-Reference-Cited by-同舟云学术

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Gene Co-expression Network and Copy Number Variation Analyses Identify Transcription Factors Associated With Multiple Myeloma Progression

Published:2019-05-17 Issue: Volume:10 Page:
ISSN:1664-8021
Container-title:Frontiers in Genetics
language:
Short-container-title:Front. Genet.

Author:

Yu Christina Y.,Xiang Shunian,Huang Zhi,Johnson Travis S.,Zhan Xiaohui,Han Zhi,Abu Zaid Mohammad,Huang Kun

Funder

U.S. National Library of Medicine

Publisher

Frontiers Media SA

Subject

Genetics (clinical),Genetics,Molecular Medicine

Reference51 articles.

1. Role of tumor suppressor p53 and micro-RNA interplay in multiple myeloma pathogenesis.;Abdi;J. Hematol. Oncol.,2017

2. TumorBoost: normalization of allele-specific tumor copy numbers from a single pair of tumor-normal genotyping microarrays.;Bengtsson;BMC Bioinform.,2010

3. Gene expression profiling for molecular classification of multiple myeloma in newly diagnosed patients.;Broyl;Blood,2010

4. Molecular dissection of hyperdiploid multiple myeloma by gene expression profiling.;Chng;Cancer Res.

5. Clinical significance of TP53 mutation in myeloma.;Chng;Leukemia

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