Continuous time Bayesian networks identify Prdm1 as a negative regulator of TH17 cell differentiation in humans
10.1038/srep23128
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sg-nus-scholar.10635-1789342023-08-29T21:46:13Z Continuous time Bayesian networks identify Prdm1 as a negative regulator of TH17 cell differentiation in humans Acerbi, E Viganò, E Poidinger, M Mortellaro, A Zelante, T Stella, F BIOLOGY (NU) interleukin 17 PRDM1 protein, human repressor protein Bayes theorem CD4+ T lymphocyte cell culture cell differentiation cytology fetus blood gene expression regulation gene regulatory network genetics human metabolism Th17 cell Bayes Theorem CD4-Positive T-Lymphocytes Cell Differentiation Cells, Cultured Fetal Blood Gene Expression Regulation Gene Regulatory Networks Humans Interleukin-17 Repressor Proteins Th17 Cells 10.1038/srep23128 Scientific Reports 6 23128 2020-10-22T03:04:57Z 2020-10-22T03:04:57Z 2016 Article Acerbi, E, Viganò, E, Poidinger, M, Mortellaro, A, Zelante, T, Stella, F (2016). Continuous time Bayesian networks identify Prdm1 as a negative regulator of TH17 cell differentiation in humans. Scientific Reports 6 : 23128. ScholarBank@NUS Repository. https://doi.org/10.1038/srep23128 20452322 https://scholarbank.nus.edu.sg/handle/10635/178934 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20201031 |
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interleukin 17 PRDM1 protein, human repressor protein Bayes theorem CD4+ T lymphocyte cell culture cell differentiation cytology fetus blood gene expression regulation gene regulatory network genetics human metabolism Th17 cell Bayes Theorem CD4-Positive T-Lymphocytes Cell Differentiation Cells, Cultured Fetal Blood Gene Expression Regulation Gene Regulatory Networks Humans Interleukin-17 Repressor Proteins Th17 Cells |
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interleukin 17 PRDM1 protein, human repressor protein Bayes theorem CD4+ T lymphocyte cell culture cell differentiation cytology fetus blood gene expression regulation gene regulatory network genetics human metabolism Th17 cell Bayes Theorem CD4-Positive T-Lymphocytes Cell Differentiation Cells, Cultured Fetal Blood Gene Expression Regulation Gene Regulatory Networks Humans Interleukin-17 Repressor Proteins Th17 Cells Acerbi, E Viganò, E Poidinger, M Mortellaro, A Zelante, T Stella, F Continuous time Bayesian networks identify Prdm1 as a negative regulator of TH17 cell differentiation in humans |
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10.1038/srep23128 |
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BIOLOGY (NU) |
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BIOLOGY (NU) Acerbi, E Viganò, E Poidinger, M Mortellaro, A Zelante, T Stella, F |
format |
Article |
author |
Acerbi, E Viganò, E Poidinger, M Mortellaro, A Zelante, T Stella, F |
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Acerbi, E |
title |
Continuous time Bayesian networks identify Prdm1 as a negative regulator of TH17 cell differentiation in humans |
title_short |
Continuous time Bayesian networks identify Prdm1 as a negative regulator of TH17 cell differentiation in humans |
title_full |
Continuous time Bayesian networks identify Prdm1 as a negative regulator of TH17 cell differentiation in humans |
title_fullStr |
Continuous time Bayesian networks identify Prdm1 as a negative regulator of TH17 cell differentiation in humans |
title_full_unstemmed |
Continuous time Bayesian networks identify Prdm1 as a negative regulator of TH17 cell differentiation in humans |
title_sort |
continuous time bayesian networks identify prdm1 as a negative regulator of th17 cell differentiation in humans |
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2020 |
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https://scholarbank.nus.edu.sg/handle/10635/178934 |
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1779152408691081216 |