Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method. - Wikidata - awgldk - TriplyDB

Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method.

Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method.

http://www.wikidata.org/entity/Q33551799

about

Thymidine kinase assay in canine lymphoma.Integrative analysis of cancer prognosis data with multiple subtypes using regularized gradient descent.Integrative analysis of prognosis data on multiple cancer subtypes Bayesian joint selection of genes and pathways: applications in multiple myeloma genomics Bayesian hierarchical structured variable selection methods with application to MIP studies in breast cancer Oral non-Hodgkin's lymphoma in a patient with rheumatoid arthritis treated with etanercept and methotrexate Risk Factors of Non-Hodgkin Lymphoma Risk Factors of Follicular Lymphoma.Network-guided sparse regression modeling for detection of gene-by-gene interactions.

P2860

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P2860

Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method.

http://www.wikidata.org/entity/Q33551799

description

2009 nî lūn-bûn

@nan

2009 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2009 թվականի հոտեմբերին հրատարակված գիտական հոդված

@hy

2009年の論文

@ja

2009年論文

@yue

2009年論文

@zh-hant

2009年論文

@zh-hk

2009年論文

@zh-mo

2009年論文

@zh-tw

2009年论文

@wuu

name

Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method.

@ast

Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method.

@en

Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method.

@nl

type

label

Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method.

@ast

Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method.

@en

Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method.

@nl

prefLabel

Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method.

@ast

Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method.

@en

Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method.

@nl

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Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method.

@en

P2093

Jian Huang

http://www.w3.org/2001/XMLSchema#string

Qing Lan

http://www.w3.org/2001/XMLSchema#string

Shuangge Ma

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Theodore Holford

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Tongzhang Zheng

http://www.w3.org/2001/XMLSchema#string

Xuesong Han

http://www.w3.org/2001/XMLSchema#string

Yawei Zhang

http://www.w3.org/2001/XMLSchema#string

P2860

Polymorphisms in DNA repair and one-carbon metabolism genes and overall survival in diffuse large B-cell lymphoma and follicular lymphoma

Regularized ROC method for disease classification and biomarker selection with microarray data.

Supervised group Lasso with applications to microarray data analysis.

Identification of cancer-associated gene clusters and genes via clustering penalization.

Prognostic significance of host immune gene polymorphisms in follicular lymphoma survival.

Cytokine polymorphisms in the Th1/Th2 pathway and susceptibility to non-Hodgkin lymphoma.

Genome-wide association analysis by lasso penalized logistic regression.

A group bridge approach for variable selection.

Clustering threshold gradient descent regularization: with applications to microarray studies.

Genetic variants in caspase genes and susceptibility to non-Hodgkin lymphoma.

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15-21

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scholarly article

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10.1093/BIOINFORMATICS/BTP604

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1

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26

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Nathaniel Rothman

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2009-10-22T00:00:00Z

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38030333

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19850755

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