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Guest Editorial—Special Collection Topic: Statistical Systems Theory in Cancer Modeling, Diagnosis, and Therapy

Cancer is a systems disease involving mutations and altered regulation. This supplement treats cancer research as it pertains to 3 systems issues of an inherently statistical nature: regulatory modeling and information processing, diagnostic classification, and therapeutic intervention and control....

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Detalles Bibliográficos
Autores principales: Dougherty, Edward R, Boulesteix, Anne-Laure, Dalton, Lori A, Zhang, Michelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5843086/
https://www.ncbi.nlm.nih.gov/pubmed/29531471
http://dx.doi.org/10.1177/1176935118760944
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author Dougherty, Edward R
Boulesteix, Anne-Laure
Dalton, Lori A
Zhang, Michelle
author_facet Dougherty, Edward R
Boulesteix, Anne-Laure
Dalton, Lori A
Zhang, Michelle
author_sort Dougherty, Edward R
collection PubMed
description Cancer is a systems disease involving mutations and altered regulation. This supplement treats cancer research as it pertains to 3 systems issues of an inherently statistical nature: regulatory modeling and information processing, diagnostic classification, and therapeutic intervention and control. Topics of interest include (but are not limited to) multiscale modeling, gene/protein transcriptional regulation, dynamical systems, pharmacokinetic/pharmacodynamic modeling, compensatory regulation, feedback, apoptotic and proliferative control, copy number-expression interaction, integration of different feature types, error estimation, and reproducibility. We are especially interested in how the above issues relate to the extremely high-dimensional data sets and small- to moderate-sized data sets typically involved in cancer research, for instance, their effect on statistical power, inference accuracy, and multiple comparisons.
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spelling pubmed-58430862018-03-12 Guest Editorial—Special Collection Topic: Statistical Systems Theory in Cancer Modeling, Diagnosis, and Therapy Dougherty, Edward R Boulesteix, Anne-Laure Dalton, Lori A Zhang, Michelle Cancer Inform Editorial: Special Collection: Statistical Systems Theory in Cancer Modeling, Diagnosis, and Therapy Cancer is a systems disease involving mutations and altered regulation. This supplement treats cancer research as it pertains to 3 systems issues of an inherently statistical nature: regulatory modeling and information processing, diagnostic classification, and therapeutic intervention and control. Topics of interest include (but are not limited to) multiscale modeling, gene/protein transcriptional regulation, dynamical systems, pharmacokinetic/pharmacodynamic modeling, compensatory regulation, feedback, apoptotic and proliferative control, copy number-expression interaction, integration of different feature types, error estimation, and reproducibility. We are especially interested in how the above issues relate to the extremely high-dimensional data sets and small- to moderate-sized data sets typically involved in cancer research, for instance, their effect on statistical power, inference accuracy, and multiple comparisons. SAGE Publications 2018-03-05 /pmc/articles/PMC5843086/ /pubmed/29531471 http://dx.doi.org/10.1177/1176935118760944 Text en © The Author(s) 2018 http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages(https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Editorial: Special Collection: Statistical Systems Theory in Cancer Modeling, Diagnosis, and Therapy
Dougherty, Edward R
Boulesteix, Anne-Laure
Dalton, Lori A
Zhang, Michelle
Guest Editorial—Special Collection Topic: Statistical Systems Theory in Cancer Modeling, Diagnosis, and Therapy
title Guest Editorial—Special Collection Topic: Statistical Systems Theory in Cancer Modeling, Diagnosis, and Therapy
title_full Guest Editorial—Special Collection Topic: Statistical Systems Theory in Cancer Modeling, Diagnosis, and Therapy
title_fullStr Guest Editorial—Special Collection Topic: Statistical Systems Theory in Cancer Modeling, Diagnosis, and Therapy
title_full_unstemmed Guest Editorial—Special Collection Topic: Statistical Systems Theory in Cancer Modeling, Diagnosis, and Therapy
title_short Guest Editorial—Special Collection Topic: Statistical Systems Theory in Cancer Modeling, Diagnosis, and Therapy
title_sort guest editorial—special collection topic: statistical systems theory in cancer modeling, diagnosis, and therapy
topic Editorial: Special Collection: Statistical Systems Theory in Cancer Modeling, Diagnosis, and Therapy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5843086/
https://www.ncbi.nlm.nih.gov/pubmed/29531471
http://dx.doi.org/10.1177/1176935118760944
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