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Akademický článek

Tuning of delta-protocadherin adhesion through combinatorial diversity

Autor: Adam J Bisogni, Shila Ghazanfar, Eric O Williams, Heather M Marsh, Jean YH Yang, David M Lin

Publikováno v: eLife, Vol 7 (2018)

The delta-protocadherins (δ-Pcdhs) play key roles in neural development, and expression studies suggest they are expressed in combination within neurons. The extent of this combinatorial diversity, and how these combinations influence cell adhesion,

Externí odkaz: https://doaj.org/article/cb0de718a019401f82d1850f77239a78

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Akademický článek

Mitochondrial CoQ deficiency is a common driver of mitochondrial oxidants and insulin resistance

Publikováno v: eLife, Vol 7 (2018)

Insulin resistance in muscle, adipocytes and liver is a gateway to a number of metabolic diseases. Here, we show a selective deficiency in mitochondrial coenzyme Q (CoQ) in insulin-resistant adipose and muscle tissue. This defect was observed in a ra

Externí odkaz: https://doaj.org/article/8a5796fc74b24c25b9c3c989e6b15e61

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A field guide to cultivating computational biology

Autor: Carpenter, Anne E, Greene, Casey S, Carnici, Piero, Carvalho, Benilton S, de Hoon, Michiel, Finley, Stacey, Cao, Kim-Anh Le, Lee, Jerry SH, Marchionni, Luigi, Sindi, Suzanne, Theis, Fabian J, Way, Gregory P, Yang, Jean YH, Fertig, Elana J

Biomedical research centers can empower basic discovery and novel therapeutic strategies by leveraging their large-scale datasets from experiments and patients. This data, together with new technologies to create and analyze it, has ushered in an era

Externí odkaz: http://arxiv.org/abs/2104.11364

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Diagonal Discriminant Analysis with Feature Selection for High Dimensional Data

Autor: Romanes, Sarah Elizabeth, Ormerod, John Thomas, Yang, Jean YH

We introduce a new method of performing high dimensional discriminant analysis, which we call multiDA. We achieve this by constructing a hybrid model that seamlessly integrates a multiclass diagonal discriminant analysis model and feature selection c

Externí odkaz: http://arxiv.org/abs/1807.01422

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