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A Point Mutation in Suppressor of Cytokine Signalling 2 (Socs2) Increases the Susceptibility to Inflammation of the Mammary Gland while Associated with Higher Body Weight and Size and Higher Milk Production in a Sheep Model
A Point Mutation in Suppressor of Cytokine Signalling 2 (Socs2) Increases the Susceptibility to Inflammation of the Mammary Gland while Associated with Higher Body Weight and Size and Higher Milk Production in a Sheep Model
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A Point Mutation in Suppressor of Cytokine Signalling 2 (Socs2) Increases the Susceptibility to Inflammation of the Mammary Gland while Associated with Higher Body Weight and Size and Higher Milk Production in a Sheep Model

Rupp, Rachel ; Senin, Pavel ; Sarry, Julien ; Allain, Charlotte ; Tasca, Christian ; Ligat, Laeticia ; Portes, David ; Woloszyn, Florent ; Bouchez, Olivier ; Tabouret, Guillaume ; Lebastard, Mathieu ; Caubet, Cécile ; Foucras, Gilles ; Tosser-Klopp, Gwenola Kijas, James

PLoS genetics, 2015-12, Vol.11 (12), p.e1005629-e1005629 [Periódico revisado por pares]

United States: Public Library of Science

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2
Higher classification sensitivity of short metagenomic reads with CLARK-S
Higher classification sensitivity of short metagenomic reads with CLARK-S
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Higher classification sensitivity of short metagenomic reads with CLARK-S

Ounit, Rachid ; Lonardi, Stefano

Bioinformatics (Oxford, England), 2016-12, Vol.32 (24), p.3823-3825 [Periódico revisado por pares]

England

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3
The marginality principle revisited: Should “higher‐order” terms always be accompanied by “lower‐order” terms in regression analyses?
The marginality principle revisited: Should “higher‐order” terms always be accompanied by “lower‐order” terms in regression analyses?
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The marginality principle revisited: Should “higher‐order” terms always be accompanied by “lower‐order” terms in regression analyses?

Morris, Tim P. ; van Smeden, Maarten ; Pham, Tra My

Biometrical journal, 2023-12, Vol.65 (8), p.e2300069-n/a [Periódico revisado por pares]

Germany: Wiley - VCH Verlag GmbH & Co. KGaA

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4
HiSCF: leveraging higher-order structures for clustering analysis in biological networks
HiSCF: leveraging higher-order structures for clustering analysis in biological networks
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HiSCF: leveraging higher-order structures for clustering analysis in biological networks

Hu, Lun ; Zhang, Jun ; Pan, Xiangyu ; Yan, Hong ; You, Zhu-Hong Berger, Bonnie

Bioinformatics, 2021-05, Vol.37 (4), p.542-550 [Periódico revisado por pares]

England: Oxford University Press

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5
HyperGraphs.jl: representing higher-order relationships in Julia
HyperGraphs.jl: representing higher-order relationships in Julia
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HyperGraphs.jl: representing higher-order relationships in Julia

Diaz, Léo P M ; Stumpf, Michael P H Martelli, Pier Luigi

Bioinformatics (Oxford, England), 2022-07, Vol.38 (14), p.3660-3661 [Periódico revisado por pares]

England: Oxford University Press

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6
HOGMMNC: a higher order graph matching with multiple network constraints model for gene–drug regulatory modules identification
HOGMMNC: a higher order graph matching with multiple network constraints model for gene–drug regulatory modules identification
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HOGMMNC: a higher order graph matching with multiple network constraints model for gene–drug regulatory modules identification

Chen, Jiazhou ; Peng, Hong ; Han, Guoqiang ; Cai, Hongmin ; Cai, Jiulun Berger, Bonnie

Bioinformatics, 2019-02, Vol.35 (4), p.602-610 [Periódico revisado por pares]

England: Oxford University Press

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7
Higher-order genetic interaction discovery with network-based biological priors
Higher-order genetic interaction discovery with network-based biological priors
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Higher-order genetic interaction discovery with network-based biological priors

Pellizzoni, Paolo ; Muzio, Giulia ; Borgwardt, Karsten

Bioinformatics (Oxford, England), 2023-06, Vol.39 (Supplement_1), p.i523-i533 [Periódico revisado por pares]

England: Oxford University Press

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8
Higher-order molecular organization as a source of biological function
Higher-order molecular organization as a source of biological function
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Higher-order molecular organization as a source of biological function

Gaudelet, Thomas ; Malod-Dognin, Noël ; Pržulj, Nataša

Bioinformatics, 2018-09, Vol.34 (17), p.i944-i953 [Periódico revisado por pares]

England: Oxford University Press

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9
Predicting Biomedical Interactions With Higher-Order Graph Convolutional Networks
Predicting Biomedical Interactions With Higher-Order Graph Convolutional Networks
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Predicting Biomedical Interactions With Higher-Order Graph Convolutional Networks

KC, Kishan ; Li, Rui ; Cui, Feng ; Haake, Anne R.

IEEE/ACM transactions on computational biology and bioinformatics, 2022-03, Vol.19 (2), p.676-687 [Periódico revisado por pares]

United States: IEEE

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10
Measuring the impact of higher education on environmental pollution: new evidence from thirty provinces in China
Measuring the impact of higher education on environmental pollution: new evidence from thirty provinces in China
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Measuring the impact of higher education on environmental pollution: new evidence from thirty provinces in China

Li, Hui ; Khattak, Shoukat Iqbal ; Ahmad, Manzoor

Environmental and ecological statistics, 2021-03, Vol.28 (1), p.187-217 [Periódico revisado por pares]

New York: Springer US

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