Results 21 to 30 of about 194,608 (73)

TEPI: Taxonomy-aware Embedding and Pseudo-Imaging for Scarcely-labeled Zero-shot Genome Classification [PDF]

open access: yesarXiv
A species' genetic code or genome encodes valuable evolutionary, biological, and phylogenetic information that aids in species recognition, taxonomic classification, and understanding genetic predispositions like drug resistance and virulence. However, the vast number of potential species poses significant challenges in developing a general-purpose ...
arxiv  

The new classes of the genetic algorithms are defined by nonassociative groupoids [PDF]

open access: yesarXiv, 2012
The genetic product of the groupoids, originating in the theory of DNA recombination, is introduced. It permits a natural generalization of the classical genetic algorithm. The full characterization of all three-element genetic groupoids gives an approach to construct the new classes of genetic algorithms.
arxiv  

Risk and Protective Factors in Parkinsons Disease [PDF]

open access: yesarXiv
Understanding the risk and protective factors associated with Parkinsons disease (PD) is crucial for improving outcomes for patients, individuals at risk, healthcare providers, and healthcare systems. Studying these factors not only enhances our knowledge of the disease but also aids in developing effective prevention, management, and treatment ...
arxiv  

Enhanced variable selection for boosting sparser and less complex models in distributional copula regression [PDF]

open access: yesarXiv
Structured additive distributional copula regression allows to model the joint distribution of multivariate outcomes by relating all distribution parameters to covariates. Estimation via statistical boosting enables accounting for high-dimensional data and incorporating data-driven variable selection, both of which are useful given the complexity of ...
arxiv  

Machine Learning Models for the Identification of Cardiovascular Diseases Using UK Biobank Data [PDF]

open access: yesarXiv
Machine learning models have the potential to identify cardiovascular diseases (CVDs) early and accurately in primary healthcare settings, which is crucial for delivering timely treatment and management. Although population-based CVD risk models have been used traditionally, these models often do not consider variations in lifestyles, socioeconomic ...
arxiv  

Genetic predisposition in sarcomas: clinical implications and management. [PDF]

open access: yesEClinicalMedicine
Connolly EA   +12 more
europepmc   +1 more source

Frailty, genetic predisposition, and incident chronic kidney disease. [PDF]

open access: yesSci Rep
Zou S   +9 more
europepmc   +1 more source

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