Výsledky vyhledávání - "Juho A. J. Kontio"

Akademický článek

Model guided trait-specific co-expression network estimation as a new perspective for identifying molecular interactions and pathways.

Autor: Juho A J Kontio, Tanja Pyhäjärvi, Mikko J Sillanpää

Publikováno v: PLoS Computational Biology, Vol 17, Iss 5, p e1008960 (2021)

A wide variety of 1) parametric regression models and 2) co-expression networks have been developed for finding gene-by-gene interactions underlying complex traits from expression data. While both methodological schemes have their own well-known bene

Externí odkaz: https://doaj.org/article/7358c411a90448f1b797467d61fae96c

Zobrazit plný text záznamu

Scalable Nonparametric Prescreening Method for Searching Higher-Order Genetic Interactions Underlying Quantitative Traits

Autor: Mikko J. Sillanpää, Juho A. J. Kontio

Publikováno v: Genetics

The Gaussian process (GP) regression is theoretically capable of capturing higher-order gene-by-gene interactions important to trait variation non-exhaustively with high accuracy. Unfortunately, GP approach is scalable only for 100-200 genes and thus

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e26d3b9605a20766a23559129079c0d
https://doi.org/10.1534/genetics.119.302658

Zobrazit plný text záznamu

Machine Learning Identifies Robust Matrisome Markers and Regulatory Mechanisms in Cancer

Autor: Annalena Dittmann, Anni Kääriäinen, Jarkko Koivunen, Taina Pihlajaniemi, Valerio Izzi, Juho A. J. Kontio, Vilma Pesola

Publikováno v: International Journal of Molecular Sciences, Vol 21, Iss 8837, p 8837 (2020)
International Journal of Molecular Sciences

The expression and regulation of matrisome genes—the ensemble of extracellular matrix, ECM, ECM-associated proteins and regulators as well as cytokines, chemokines and growth factors—is of paramount importance for many biological processes and si

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e418a647c639cc0a926f239c257d595c
https://www.mdpi.com/1422-0067/21/22/8837

Zobrazit plný text záznamu

Estimating Linear and Nonlinear Gene Coexpression Networks by Semiparametric Neighborhood Selection

Autor: Marko J. Rinta-aho, Mikko J. Sillanpää, Juho A. J. Kontio

Publikováno v: Genetics

Whereas nonlinear relationships between genes are acknowledged, there exist only a few methods for estimating nonlinear gene coexpression networks or gene regulatory networks (GCNs/GRNs) with common deficiencies. These methods often consider only pai

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ee929589cc8ba340ca0649615cd088a
https://europepmc.org/articles/PMC7337083/

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání