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Transcription-based prediction of response to IFNbeta using supervised computational methods

Transcription-based prediction of response to IFNbeta using supervised computational methods

http://www.wikidata.org/entity/Q24809619

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Prediction of graft-versus-host disease in humans by donor gene-expression profiling Pharmacogenomics of interferon-beta therapy in multiple sclerosis: baseline IFN signature determines pharmacological differences between patients Can blood gene expression predict which patients with multiple sclerosis will respond to interferon?A type I interferon signature in monocytes is associated with poor response to interferon-beta in multiple sclerosis An RNA profile identifies two subsets of multiple sclerosis patients differing in disease activity Reassessment of blood gene expression markers for the prognosis of relapsing-remitting multiple sclerosis Constrained mixture estimation for analysis and robust classification of clinical time series.Discriminating sample groups with multi-way data.Microarray analysis identifies a set of CXCR3 and CCR2 ligand chemokines as early IFNbeta-responsive genes in peripheral blood lymphocytes in vitro: an implication for IFNbeta-related adverse effects in multiple sclerosis.Gene expression signature in peripheral blood detects thoracic aortic aneurysm.Differential micro RNA expression in PBMC from multiple sclerosis patients.Prediction of acute multiple sclerosis relapses by transcription levels of peripheral blood cells.Early classification of multivariate temporal observations by extraction of interpretable shapelets Classification of time series gene expression in clinical studies via integration of biological network Transcriptomic profile reveals gender-specific molecular mechanisms driving multiple sclerosis progression A robust type I interferon gene signature from blood RNA defines quantitative but not qualitative differences between three major IFNβ drugs in the treatment of multiple sclerosis.Big-data-based edge biomarkers: study on dynamical drug sensitivity and resistance in individuals.Genomics and new targets for multiple sclerosis.Multiple sclerosis genetics: leaving no stone unturned.NF-kappaB activation mediates resistance to IFN beta in MLL-rearranged acute lymphoblastic leukemia Transcriptional profiling of peripheral blood cells in clinical pharmacogenomic studies.Gene expression profiling in human autoimmunity.Transcriptional profiling of multiple sclerosis: towards improved diagnosis and treatment.Abrogation of T cell quiescence characterizes patients at high risk for multiple sclerosis after the initial neurological event The prediction of interferon treatment effects based on time series microarray gene expression profiles.Systems biology approaches for the study of multiple sclerosis.Genetic polymorphisms, their allele combinations and IFN-beta treatment response in Irish multiple sclerosis patients Pharmacogenomics of IFN-beta in multiple sclerosis: towards a personalized medicine approach.IFN-beta pharmacogenomics in multiple sclerosis.Sieving treatment biomarkers from blood gene-expression profiles: a pharmacogenomic update on two types of multiple sclerosis therapy.The genetics of multiple sclerosis: an up-to-date review.The emerging agenda of stratified medicine in neurology.Long-term genome-wide blood RNA expression profiles yield novel molecular response candidates for IFN-beta-1b treatment in relapsing remitting MS.Prognostic biomarkers of IFNb therapy in multiple sclerosis patients.Exploratory subgroup analysis in clinical trials by model selection.Gene set differential analysis of time course expression profiles via sparse estimation in functional logistic model with application to time-dependent biomarker detection.Classification of patients from time-course gene expression.Alignment and classification of time series gene expression in clinical studies.United Europeans for development of pharmacogenomics in multiple sclerosis network.Interferon-β or azathioprine as add-on therapies in patients with active multiple sclerosis.

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Transcription-based prediction of response to IFNbeta using supervised computational methods

http://www.wikidata.org/entity/Q24809619

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2005 nî lūn-bûn

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2005 թվականի հունվարին հրատարակված գիտական հոդված

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2005年の論文

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2005年論文

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Transcription-based prediction ...... pervised computational methods

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Transcription-based prediction ...... pervised computational methods

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Transcription-based prediction ...... pervised computational methods

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Transcription-based prediction ...... pervised computational methods

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Transcription-based prediction ...... pervised computational methods

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Transcription-based prediction ...... pervised computational methods

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Althea Stillman

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Jordi Rio

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Jorge R Oksenberg

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Larry D Greller

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Manuel Comabella

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Matthew M Wyatt

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Parvin Mousavi

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Roland Somogyi

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Sergio E Baranzini

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Stacy J Caillier

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P2860

Interferon regulatory factor 4 (IRF4) interacts with NFATc2 to modulate interleukin 4 gene expression

Apoptosis and interferons: role of interferon-stimulated genes as mediators of apoptosis

Housekeeping genes as internal standards: use and limits

Deriving quantitative conclusions from microarray expression data.

Immunomodulation and therapeutic effects of the oral use of interferon-alpha: mechanism of action.

IFN-alpha and IFN-beta: a link between immune memory and chronic inflammation.

Genetic network inference: from co-expression clustering to reverse engineering.

Therapeutic approaches in multiple sclerosis: lessons from failed and interrupted treatment trials.

Large-scale temporal gene expression mapping of central nervous system development.

Rel induces interferon regulatory factor 4 (IRF-4) expression in lymphocytes: modulation of interferon-regulated gene expression by rel/nuclear factor kappaB.

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scholarly article

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10.1371/JOURNAL.PBIO.0030002

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1

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Pablo Villoslada

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8101461

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539058

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