Results 41 to 50 of about 186,339 (256)
Learning latent functions for causal discovery
Machine Learning: Science and Technology, 2023 Causal discovery from observational data offers unique opportunities in many scientific disciplines: reconstructing causal drivers, testing causal hypotheses, and comparing and evaluating models for optimizing targeted interventions.
Emiliano Díaz +3 more
doaj +1 more source
Molecular Oncology, EarlyView.Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley +1 more source
Molecular Oncology, EarlyView.Interferon type 1 (IFN‐1) production and signaling is associated with the acquisition of therapy resistance, following chronic DNA damage, via Interferon‐related DNA damage resistance signature (IRDS) gene expression. An alternative, DNA damage‐independent role of sustained IFN‐1 mediated resistance was identified and characterized by the emergence of ...
Ashlyn Conant +11 more
wiley +1 more source
Do generative models learn rare generative factors?
Frontiers in Artificial IntelligenceGenerative models are becoming a promising tool in AI alongside discriminative learning. Several models have been proposed to learn in an unsupervised fashion the corresponding generative factors, namely the latent variables critical for capturing the ...
Fasih Haider +3 more
doaj +1 more source
Information, 2023 This study presents a novel approach for kernel selection based on Kullback–Leibler divergence in variational autoencoders using features generated by the convolutional encoder.
Fábio Mendonça +3 more
doaj +1 more source
FEBS Open Bio, EarlyView.Early‐life exposure to a high‐fat diet altered intact Achilles tendons in rat offspring, making them thinner, stiffer, and molecularly distinct even without injury. These findings suggest that developmental high‐fat diet exposure may impair tendon quality and increase susceptibility to mechanical overload or tendon injury later in life.
Heyong Yin +3 more
wiley +1 more source
Cross-Cultural Questionnaires and the Necessity of Using Native Translators: A Croatian-Swedish Case
Psychological Topics, 2020 In this paper, we discuss problems of comparing two European cultures in a study of emotional intelligence by relying on traditional back translation of the questionnaire and the scales used in the study (Holmström, Molander, & Takšić, 2008; Molander,
Bo Molander +2 more
doaj
Cybersecurity Alert Prioritization in a Critical High Power Grid With Latent Spaces
IEEE Access, 2023 High-Power electric grid networks require extreme security in their associated telecommunication network to ensure protection and control throughout power transmission.
Juan Ramon Feijoo-Martinez +4 more
doaj +1 more source
FEBS Open Bio, EarlyView.NMR metabolomics revealed concentration‐dependent metabolic perturbations in HepG2 cells exposed to H2O2. Rifampicin pretreatment enhanced metabolic competence, attenuated toxin‐induced alterations and produced metabolite profiles more consistent with human liver physiology, supporting the use of CYP450‐induced HepG2 models for improved in vitro ...
Maren Jinks +4 more
wiley +1 more source
Latent variables and the network perspective [PDF]
Behavioral and Brain Sciences, 2010 AbstractWe discuss the latent variables construct, particularly in regard to the following: that latent variables are considered as the sole explanatory factor of a disorder; that pragmatic concerns are ignored; and that the relationship of these variables to biological markers is not addressed.
Belzung, Catherine +3 more
openaire +4 more sources