Conservation of immune gene signatures in solid tumors and prognostic implications
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Title
Conservation of immune gene signatures in solid tumors and prognostic implications
Authors
Keywords
Consensus clustering, Enrichment scores, Immune signatures, Survival analysis
Journal
BMC CANCER
Volume 16, Issue 1, Pages -
Publisher
Springer Nature
Online
2016-11-22
DOI
10.1186/s12885-016-2948-z
References
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- (2012) Tanya Barrett et al. NUCLEIC ACIDS RESEARCH
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- (2008) M. Morris et al. CLINICAL CANCER RESEARCH
- Intratumoral interferon regulatory factor (IRF)-1 but not IRF-2 is of relevance in predicting patient outcome in ovarian cancer
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- Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists
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- An interferon-related gene signature for DNA damage resistance is a predictive marker for chemotherapy and radiation for breast cancer
- (2008) R. R. Weichselbaum et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
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