Results 31 to 40 of about 99,428 (256)

Visualizing genetic constraints [PDF]

open access: yes, 2013
Principal Components Analysis (PCA) is a common way to study the sources of variation in a high-dimensional data set. Typically, the leading principal components are used to understand the variation in the data or to reduce the dimension of the data for ...
Gaydos, Travis L.   +6 more
core   +3 more sources

Data-Driven Bayesian Network Learning: A Bi-Objective Approach to Address the Bias-Variance Decomposition

open access: yesMathematical and Computational Applications, 2020
We present a novel bi-objective approach to address the data-driven learning problem of Bayesian networks. Both the log-likelihood and the complexity of each candidate Bayesian network are considered as objectives to be optimized by our proposed ...
Vicente-Josué Aguilera-Rueda   +2 more
doaj   +1 more source

The fidelity of dynamic signaling by noisy biomolecular networks [PDF]

open access: yes, 2013
This is the final version of the article. Available from Public Library of Science via the DOI in this record.Cells live in changing, dynamic environments.
A Eldar   +35 more
core   +5 more sources

Agro-morphological characterization of yellow passion fruit (Passiflora edulis f. flavicarpa Degener) reveals elite genotypes for a breeding program in Colombia

open access: yesAgronomía Colombiana, 2021
Yellow passion fruit cultivation in Colombia lacks detailed genetic studies that allow the establishment of intraspecific variability as a basis for a breeding program. The aim of this research was to establish the genetic relationships among accessions
John Ocampo   +2 more
doaj   +1 more source

Gene-centric gene-gene interaction: A model-based kernel machine method

open access: yes, 2012
Much of the natural variation for a complex trait can be explained by variation in DNA sequence levels. As part of sequence variation, gene-gene interaction has been ubiquitously observed in nature, where its role in shaping the development of an ...
Cui, Yuehua, Li, Shaoyu
core   +1 more source

Familial co-aggregation and shared heritability between depression, anxiety, obesity and substance use

open access: yesTranslational Psychiatry, 2022
Depression, anxiety, obesity and substance use are heritable and often co-occur. However, the mechanisms underlying this co-occurrence are not fully understood.
Rujia Wang   +2 more
doaj   +1 more source

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

open access: yesMolecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice   +16 more
wiley   +1 more source

QTL mapping of flowering and fruiting traits in olive. [PDF]

open access: yesPLoS ONE, 2013
One of the challenge fruit growers are facing is to balance between tree production and vegetative growth from year to year. To investigate the existence of genetic determinism for reproductive behaviour in olive tree, we studied an olive segregating ...
Inès Ben Sadok   +9 more
doaj   +1 more source

Molecular dynamics simulations of positively selected codons in FcγRI reveal novel biochemical binding properties

open access: yesFEBS Open Bio, EarlyView.
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young   +7 more
wiley   +1 more source

Individual differences in internalizing symptoms in late childhood: A variance decomposition into cortical thickness, genetic and environmental differences

open access: yesDevelopmental Science
AbstractThe brain undergoes extensive development during late childhood and early adolescence. Cortical thinning is a prominent feature of this development, and some researchers have suggested that differences in cortical thickness may be related to internalizing symptoms, which typically increase during the same period.
Anneli D. Tandberg   +6 more
openaire   +2 more sources

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