Human growth is associated with distinct patterns of gene expression in evolutionarily conserved networks.
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Network analysis and juvenile idiopathic arthritis (JIA): a new horizon for the understanding of disease pathogenesis and therapeutic target identificationPharmacogenomics in Pediatric Oncology: Review of Gene-Drug Associations for Clinical UseA systematic SNP selection approach to identify mechanisms underlying disease aetiology: linking height to post-menopausal breast and colorectal cancer riskInsights into the pathophysiology of catch-up compared with non-catch-up growth in children born small for gestational age: an integrated analysis of metabolic and transcriptomic data.A high-quality annotated transcriptome of swine peripheral blood.A co-association network analysis of the genetic determination of pig conformation, growth and fatness.Sex, Sport, IGF-1 and the Community Effect in Height Hypothesis.Post-weaning blood transcriptomic differences between Yorkshire pigs divergently selected for residual feed intakeNonlinear transcriptomic response to dietary fat intake in the small intestine of C57BL/6J miceGH deficiency status combined with GH receptor polymorphism affects response to GH in childrenValidating genetic markers of response to recombinant human growth hormone in children with growth hormone deficiency and Turner syndrome: the PREDICT validation study.EVI1 expression in childhood acute lymphoblastic leukaemia is not restricted to MLL and BCR/ABL rearrangements and is influenced by age.Effect of summer daylight exposure and genetic background on growth in growth hormone-deficient childrenPediatric perspective on pharmacogenomics.Bridging the Gaps: the Promise of Omics Studies in Pediatric Exercise Research.Network analysis identifies protein clusters of functional importance in juvenile idiopathic arthritis.Combinatorial PX-866 and Raloxifene Decrease Rb Phosphorylation, Cyclin E2 Transcription, and Proliferation of MCF-7 Breast Cancer Cells.Characterization of GPR101 transcript structure and expression patterns.The oncogenic FIP1L1-PDGFRα fusion protein displays skewed signaling properties compared to its wild-type PDGFRα counterpart.Transcriptomics and machine learning predict diagnosis and severity of growth hormone deficiency.
P2860
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P2860
Human growth is associated with distinct patterns of gene expression in evolutionarily conserved networks.
description
2013 nî lūn-bûn
@nan
2013 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի օգոստոսին հրատարակված գիտական հոդված
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2013年の論文
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2013年学术文章
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2013年学术文章
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2013年学术文章
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2013年学术文章
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2013年学术文章
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2013年學術文章
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name
Human growth is associated wit ...... utionarily conserved networks.
@ast
Human growth is associated wit ...... utionarily conserved networks.
@en
Human growth is associated wit ...... utionarily conserved networks.
@nl
type
label
Human growth is associated wit ...... utionarily conserved networks.
@ast
Human growth is associated wit ...... utionarily conserved networks.
@en
Human growth is associated wit ...... utionarily conserved networks.
@nl
prefLabel
Human growth is associated wit ...... utionarily conserved networks.
@ast
Human growth is associated wit ...... utionarily conserved networks.
@en
Human growth is associated wit ...... utionarily conserved networks.
@nl
P2093
P2860
P50
P356
P1433
P1476
Human growth is associated wit ...... lutionarily conserved networks
@en
P2093
Benoit Destenaves
Daniel Hanson
Pierre Chatelain
P2860
P356
10.1186/1471-2164-14-547
P407
P577
2013-08-13T00:00:00Z