Results 71 to 80 of about 4,693,052 (300)
Comparative study of adenosine 3′‐pyrophosphokinase domains of MuF polymorphic toxins
FEBS Open Bio, EarlyView.With the ultimate goal of understanding the association of toxin‐immunity modules to temperate phages, we characterized toxins from three prophages and examined cross‐protection from immunity proteins. The toxins exhibit adenosine 3′‐pyrophosphokinase activity and are toxic in Escherichia coli.
Eloïse M. Paulet +6 more
wiley +1 more source
On the Depth of Decision Trees with Hypotheses [PDF]
Entropy, 2022 In this paper, based on the results of rough set theory, test theory, and exact learning, we investigate decision trees over infinite sets of binary attributes represented as infinite binary information systems. We define the notion of a problem over an information system and study three functions of the Shannon type, which characterize the dependence ...
openaire +4 more sources
Protein O‐glycosylation in the Bacteroidota phylum
FEBS Open Bio, EarlyView.Species of the Bacteroidota phylum exhibit a unique O‐glycosylation system. It modifies noncytoplasmic proteins on a specific amino acid motif with a shared glycan core but a species‐specific outer glycan. A locus of multiple glycosyltransferases responsible for the synthesis of the outer glycan has been identified.
Lonneke Hoffmanns +2 more
wiley +1 more source
Machine Learning: Science and Technology, 2023 Deep learning systems, especially in critical fields like medicine, suffer from a significant drawback, their black box nature, which lacks mechanisms for explaining or interpreting their decisions.
Jose Sigut +4 more
doaj +1 more source
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose Quantify the impact of additional imaging doses on clinical dose constraints during lung stereotactic body radiotherapy (SBRT) treatment utilizing stereoscopic/monoscopic real‐time tumor monitoring. Materials and Methods Thirty lung SBRT patients treated with the volumetric arc therapy technique were randomly selected from the ...
Ruwan Abeywardhana, Mike Sattarivand
wiley +1 more source
What are decision trees? [PDF]
Nature Biotechnology, 2008 Decision trees have been applied to problems such as assigning protein function and predicting splice sites. How do these classifiers work, what types of problems can they solve and what are their advantages over alternatives?
Carl Kingsford, Steven L. Salzberg
openaire +3 more sources
Proceedings of the AAAI Conference on Artificial Intelligence, 2023 We develop the first fully dynamic algorithm that maintains a decision tree over an arbitrary sequence of insertions and deletions of labeled examples. Given ε>0 our algorithm guarantees that, at every point in time, every node of the decision tree uses a split with Gini gain within an additive ε of the optimum.
Bressan M., Damay G., Sozio M.
openaire +2 more sources
A review of artificial intelligence in brachytherapy
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen +4 more
wiley +1 more source
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Current radiotherapy practices rely on manual contouring of CT scans, which is time‐consuming, prone to variability, and requires highly trained experts. There is a need for more efficient and consistent contouring methods. This study evaluated the performance of the Varian Ethos AI auto‐contouring tool to assess its potential integration into
Robert N. Finnegan +6 more
wiley +1 more source