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Finding alternative expression quantitative trait loci by exploring sparse model space.

Journal of computational biology : a journal of computational molecular cell biology

Wang Z, Xu J, Shi X.
PMID: 24689773
J Comput Biol. 2014 May;21(5):385-93. doi: 10.1089/cmb.2014.0026. Epub 2014 Apr 01.

Sparse modeling, a feature selection method widely used in the machine-learning community, has been recently applied to identify associations in genetic studies including expression quantitative trait locus (eQTL) mapping. These genetic studies usually involve high dimensional data where the...

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Wang Z, Xu J, Shi X. Finding alternative expression quantitative trait loci by exploring sparse model space. J Comput Biol. 2014;21(5):385-93doi: 10.1089/cmb.2014.0026.
Wang, Z., Xu, J., & Shi, X. (2014). Finding alternative expression quantitative trait loci by exploring sparse model space. Journal of computational biology : a journal of computational molecular cell biology, 21(5), 385-93. https://doi.org/10.1089/cmb.2014.0026
Wang, Zhiyong, et al. "Finding alternative expression quantitative trait loci by exploring sparse model space." Journal of computational biology : a journal of computational molecular cell biology vol. 21,5 (2014): 385-93. doi: https://doi.org/10.1089/cmb.2014.0026
Wang Z, Xu J, Shi X. Finding alternative expression quantitative trait loci by exploring sparse model space. J Comput Biol. 2014 May;21(5):385-93. doi: 10.1089/cmb.2014.0026. Epub 2014 Apr 01. PMID: 24689773; PMCID: PMC4010169.
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miRNAs in atherosclerotic plaque initiation, progression, and rupture.

Trends in molecular medicine

Andreou I, Sun X, Stone PH, Edelman ER, Feinberg MW.
PMID: 25771097
Trends Mol Med. 2015 May;21(5):307-18. doi: 10.1016/j.molmed.2015.02.003. Epub 2015 Mar 11.

Atherosclerosis is a chronic immune-inflammatory disorder that integrates multiple cell types and a diverse set of inflammatory mediators. miRNAs are emerging as important post-transcriptional regulators of gene expression in most, if not all, vertebrate cells, and constitute central players...

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Andreou I, Sun X, Stone PH, et al. miRNAs in atherosclerotic plaque initiation, progression, and rupture. Trends Mol Med. 2015;21(5):307-18doi: 10.1016/j.molmed.2015.02.003.
Andreou, I., Sun, X., Stone, P. H., Edelman, E. R., & Feinberg, M. W. (2015). miRNAs in atherosclerotic plaque initiation, progression, and rupture. Trends in molecular medicine, 21(5), 307-18. https://doi.org/10.1016/j.molmed.2015.02.003
Andreou, Ioannis, et al. "miRNAs in atherosclerotic plaque initiation, progression, and rupture." Trends in molecular medicine vol. 21,5 (2015): 307-18. doi: https://doi.org/10.1016/j.molmed.2015.02.003
Andreou I, Sun X, Stone PH, Edelman ER, Feinberg MW. miRNAs in atherosclerotic plaque initiation, progression, and rupture. Trends Mol Med. 2015 May;21(5):307-18. doi: 10.1016/j.molmed.2015.02.003. Epub 2015 Mar 11. PMID: 25771097; PMCID: PMC4424146.
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Integrated multifactor analysis explores core dysfunctional modules in autism spectrum disorder.

International journal of biological sciences

Huang Y, Chang Z, Li X, Liang S, Yi Y, Wu L.
PMID: 29989084
Int J Biol Sci. 2018 May 22;14(8):811-818. doi: 10.7150/ijbs.24624. eCollection 2018.

Autism spectrum disorder (ASD) is a complex neurodevelopmental disease in early childhood, and growing up to be a major cause of disability in children. However, the underlying molecular mechanism of ASD remains elusive. Hence, we represented integrated multifactor analysis...

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Huang Y, Chang Z, Li X, et al. Integrated multifactor analysis explores core dysfunctional modules in autism spectrum disorder. Int J Biol Sci. 2018;14(8):811-818doi: 10.7150/ijbs.24624.
Huang, Y., Chang, Z., Li, X., Liang, S., Yi, Y., & Wu, L. (2018). Integrated multifactor analysis explores core dysfunctional modules in autism spectrum disorder. International journal of biological sciences, 14(8), 811-818. https://doi.org/10.7150/ijbs.24624
Huang, Yan, et al. "Integrated multifactor analysis explores core dysfunctional modules in autism spectrum disorder." International journal of biological sciences vol. 14,8 (2018): 811-818. doi: https://doi.org/10.7150/ijbs.24624
Huang Y, Chang Z, Li X, Liang S, Yi Y, Wu L. Integrated multifactor analysis explores core dysfunctional modules in autism spectrum disorder. Int J Biol Sci. 2018 May 22;14(8):811-818. doi: 10.7150/ijbs.24624. eCollection 2018. PMID: 29989084; PMCID: PMC6036758.
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Black Swans of CRISPR: Stochasticity and Complexity of Genetic Regulation.

BioEssays : news and reviews in molecular, cellular and developmental biology

Cheong KH, Koh JM, Jones MC.
PMID: 31090950
Bioessays. 2019 Jul;41(7):e1900032. doi: 10.1002/bies.201900032. Epub 2019 May 15.

Recent waves of controversies surrounding genetic engineering have spilled into popular science in Twitter battles between reputable scientists and their followers. Here, a cautionary perspective on the possible blind spots and risks of CRISPR and related biotechnologies is presented,...

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Cheong KH, Koh JM, Jones MC. Black Swans of CRISPR: Stochasticity and Complexity of Genetic Regulation. Bioessays. 2019;41(7):e1900032doi: 10.1002/bies.201900032.
Cheong, K. H., Koh, J. M., & Jones, M. C. (2019). Black Swans of CRISPR: Stochasticity and Complexity of Genetic Regulation. BioEssays : news and reviews in molecular, cellular and developmental biology, 41(7), e1900032. https://doi.org/10.1002/bies.201900032
Cheong, Kang Hao, et al. "Black Swans of CRISPR: Stochasticity and Complexity of Genetic Regulation." BioEssays : news and reviews in molecular, cellular and developmental biology vol. 41,7 (2019): e1900032. doi: https://doi.org/10.1002/bies.201900032
Cheong KH, Koh JM, Jones MC. Black Swans of CRISPR: Stochasticity and Complexity of Genetic Regulation. Bioessays. 2019 Jul;41(7):e1900032. doi: 10.1002/bies.201900032. Epub 2019 May 15. PMID: 31090950.
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Editorial overview: Diving into the Genome.

Current opinion in genetics & development

Bystricky K, Merkenschlager M.
PMID: 32950132
Curr Opin Genet Dev. 2020 Apr;61:iii-vi. doi: 10.1016/j.gde.2020.06.001.

No abstract available.

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Bystricky K, Merkenschlager M. Editorial overview: Diving into the Genome. Curr Opin Genet Dev. 2020;61:iii-vidoi: 10.1016/j.gde.2020.06.001.
Bystricky, K., & Merkenschlager, M. (2020). Editorial overview: Diving into the Genome. Current opinion in genetics & development, 61iii-vi. https://doi.org/10.1016/j.gde.2020.06.001
Bystricky, Kerstin, and Merkenschlager, Matthias. "Editorial overview: Diving into the Genome." Current opinion in genetics & development vol. 61 (2020): iii-vi. doi: https://doi.org/10.1016/j.gde.2020.06.001
Bystricky K, Merkenschlager M. Editorial overview: Diving into the Genome. Curr Opin Genet Dev. 2020 Apr;61:iii-vi. doi: 10.1016/j.gde.2020.06.001. PMID: 32950132.
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Showing 1 to 5 of 5 entries