Results 61 to 70 of about 320,698 (271)

CD44v, S1PR1, HER3, MET and cancer‐associated amino acid transporters are promising targets for the pancreatic cancers characterized using mAb

open access: yesFEBS Open Bio, EarlyView.
Novel mAbs could detect cancer‐associated membrane proteins on various type of pancreatic ductal adenocarcinomas (PDAC) by flow cytometry with viable PDAC cells and by immunohistochemistry with PDAC tissues. Results of protein expression were substantiated by mRNA expression by The Cancer Genome Atlas.
Takashi Nakano   +16 more
wiley   +1 more source

Bounds on Depth of Decision Trees Derived from Decision Rule Systems [PDF]

open access: yesarXiv, 2023
Systems of decision rules and decision trees are widely used as a means for knowledge representation, as classifiers, and as algorithms. They are among the most interpretable models for classifying and representing knowledge. The study of relationships between these two models is an important task of computer science. It is easy to transform a decision
arxiv  

Co‐expression of HSV‐1 ICP34.5 enhances the expression of gene delivered by self‐amplifying RNA and mitigates its immunogenicity

open access: yesFEBS Open Bio, EarlyView.
ICP34.5 is one of the most important antihost response proteins. The saRNA‐encoding HSV‐1 neurovirulence protein ICP34.5 clearly mediated the eukaryotic initiation factor 2 alpha subunit (eIF2α) dephosphorylation and significant suppression of innate immune responses in vitro, leading to enhanced expression of the saRNA‐encoded gene.
Xuemin Lu   +6 more
wiley   +1 more source

Personal bankruptcy prediction using decision tree model [PDF]

open access: yesJournal of Economics Finance and Administrative Science, 2019
Purpose - Personal bankruptcy is on the rise in Malaysia. The Insolvency Department of Malaysia reported that personal bankruptcy has increased since 2007, and the total accumulated personal bankruptcy cases stood at 131,282 in 2014.
Sharifah Heryati Syed Nor   +2 more
doaj   +1 more source

Bayesian Decision Trees via Tractable Priors and Probabilistic Context-Free Grammars [PDF]

open access: yesarXiv, 2023
Decision Trees are some of the most popular machine learning models today due to their out-of-the-box performance and interpretability. Often, Decision Trees models are constructed greedily in a top-down fashion via heuristic search criteria, such as Gini impurity or entropy. However, trees constructed in this manner are sensitive to minor fluctuations
arxiv  

Comparative study of adenosine 3′‐pyrophosphokinase domains of MuF polymorphic toxins

open access: yesFEBS 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

Protein O‐glycosylation in the Bacteroidota phylum

open access: yesFEBS 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

Prediction of Frost Occurrences Using Statistical Modeling Approaches

open access: yesAdvances in Meteorology, 2016
We developed the frost prediction models in spring in Korea using logistic regression and decision tree techniques. Hit Rate (HR), Probability of Detection (POD), and False Alarm Rate (FAR) from both models were calculated and compared.
Hyojin Lee   +3 more
doaj   +1 more source

Attribute Selection Based on Constraint Gain and Depth Optimal for a Decision Tree

open access: yesEntropy, 2019
Uncertainty evaluation based on statistical probabilistic information entropy is a commonly used mechanism for a heuristic method construction of decision tree learning.
Huaining Sun, Xuegang Hu, Yuhong Zhang
doaj   +1 more source

Improving Land Use/Land Cover Classification by Integrating Pixel Unmixing and Decision Tree Methods

open access: yesRemote Sensing, 2017
Decision tree classification is one of the most efficient methods for obtaining land use/land cover (LULC) information from remotely sensed imageries. However, traditional decision tree classification methods cannot effectively eliminate the influence of
Chao Yang   +5 more
doaj   +1 more source

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