Gene regulatory networks: from correlative models to causal explanations. [PDF]
Maizels RJ, Briscoe J.
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Progranulin Is a Survival Factor for Axotomized Retinal Ganglion Cells in Adult Mice. [PDF]
Grodzki LM +4 more
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CaHoT-GRN: context-aware high-order topology learning for robust single-cell gene regulatory network inference. [PDF]
Yao D, Zhang B, Zhan X, Wang W, Liang N.
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Identification and multi-layered validation of seven diagnostic biomarkers for dilated cardiomyopathy via integrative machine learning, single-cell transcriptomics, and Mendelian randomization. [PDF]
Li J +5 more
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Multimodal bioinformatic analyses of genome-scale expression beyond gene-centric differential expression. [PDF]
Nuanpirom J, Charoensawan V.
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Glycosylation gene-based molecular recognition model for diabetic retinopathy. [PDF]
Wu Q, Ma PP.
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Integrative machine learning and gene regulatory network analysis identifies novel genes for leafy head formation in Brassica rapa and B. oleracea. [PDF]
Sun W +6 more
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AutoGERN: single-cell RNA-seq gene regulatory network inference via explicit link modeling and adaptive architectures. [PDF]
Wang J, Chen Y, Zou Q, Luo X.
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Mitochondria and Lipid Defects in Hereditary Progranulin-Related Frontotemporal Dementia. [PDF]
Ondaro J +11 more
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Gene regulatory network determinants of rapid recall in human memory CD4<sup>+</sup> T cells. [PDF]
Katko A +11 more
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