Predicting response to multidrug regimens in cancer patients using cell line experiments and regularised regression models.

Predicting response to multidrug regimens in cancer patients using cell line experiments and regularised regression models.

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http://www.wikidata.org/entity/Q35402899
American Society of Blood and Marrow Transplantation, European Society of Blood and Marrow Transplantation, Blood and Marrow Transplant Clinical Trials Network, and International Myeloma Working Group Consensus Conference on Salvage Hematopoietic CeAnti-Apoptotic Effects of Lentiviral Vector Transduction Promote Increased Rituximab Tolerance in Cancerous B-CellsRegularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer.hemaClass.org: Online One-By-One Microarray Normalization and Classification of Hematological Cancers for Precision MedicineMolecular classification of tissue from a transformed non-Hogkin's lymphoma case with unexpected long-time remission.Risk analysis of colorectal cancer incidence by gene expression analysis.Discovering novel pharmacogenomic biomarkers by imputing drug response in cancer patients from large genomics studies.Computational models for predicting drug responses in cancer research.A link prediction approach to cancer drug sensitivity prediction.Subtype assignment of CLL based on B-cell subset associated gene signatures from normal bone marrow - A proof of concept study.Consistency in large pharmacogenomic studies.A multiple myeloma classification system that associates normal B-cell subset phenotypes with prognosis
P2860

Predicting response to multidrug regimens in cancer patients using cell line experiments and regularised regression models.

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http://www.wikidata.org/entity/Q35402899
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2015 nî lūn-bûn
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2015 թուականի Ապրիլին հրատարակուած գիտական յօդուած
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2015 թվականի ապրիլին հրատարակված գիտական հոդված
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2015年の論文
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2015年論文
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2015年論文
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2015年論文
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2015年論文
@zh-mo
2015年論文
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2015年论文
@wuu
name
Predicting response to multidr ...... regularised regression models.
@ast
Predicting response to multidr ...... regularised regression models.
@en
type
label
Predicting response to multidr ...... regularised regression models.
@ast
Predicting response to multidr ...... regularised regression models.
@en
prefLabel
Predicting response to multidr ...... regularised regression models.
@ast
Predicting response to multidr ...... regularised regression models.
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P1433
P1476
P2093
P2860
P2888
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P407
P478
P50
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P5875
P6179
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Predicting response to multidr ...... regularised regression models.
@en
P2093
P2860
P2888
P304
P31
P356
P407
P478
P50
P577
P5875
P6179
P698
P932