Results 91 to 100 of about 9,752,550 (347)

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

open access: yesMolecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso   +5 more
wiley   +1 more source

BehavDT: A Behavioral Decision Tree Learning to Build User-Centric Context-Aware Predictive Model [PDF]

open access: yesJournal on spesial topics in mobile networks and applications, 2019
This paper formulates the problem of building a context-aware predictive model based on user diverse behavioral activities with smartphones. In the area of machine learning and data science, a tree-like model as that of decision tree is considered as one
I. H. Sarker   +5 more
semanticscholar   +1 more source

USP7 inhibits FOXO1 activity in chronic lymphocytic leukaemia cells enhancing cell survival

open access: yesMolecular Oncology, EarlyView.
CLL cells rely on BCR‐mediated signalling for survival and proliferation in part through suppression of FOXO1. FOXO1 activity is regulated by a plethora of post‐translational modifications including phosphorylation and ubiquitination. We demonstrated that dual inhibition of BCR signalling and the deubiquitinase USP7 activates FOXO1, modulating its ...
Hassan N.B. Almuhanna   +8 more
wiley   +1 more source

Decision tree based code smell prioritization evaluation

open access: yes上海师范大学学报. 自然科学版, 2022
Based on the prioritization method of developer-driven code smell, combining with the optimization decision tree algorithm, a model was built to rank the refactoring priority of code smell for developers, which was evaluated in the empirical study.
GUO Di, WU Haitao
doaj   +1 more source

Bivariate decision trees [PDF]

open access: yes, 1997
Decision tree methods constitute an important and much used technique for classification problems. When such trees are used in a Datamining and Knowledge Discovery context, ease of interpretation of the resulting trees is an important requirement to be met.
Bioch, JC (Cor)   +2 more
openaire   +3 more sources

Small RNA pathways in mammalian oocytes

open access: yesFEBS Open Bio, EarlyView.
Three distinct small RNA pathways operate in mammalian oocytes: RNAi interference (RNAi), the microRNA (miRNA) pathway, and the PIWI‐associated RNA (piRNA) pathway. These pathways use small RNAs to guide sequence‐specific repression and contribute to oocyte biology by targeting genes and mobile elements or appear insignificant since different ...
Petr Svoboda, Josef Pasulka
wiley   +1 more source

Decision tree-based Design Defects Detection

open access: yesIEEE Access, 2021
Design defects affect project quality and hinder development and maintenance. Consequently, experts need to minimize these defects in software systems. A promising approach is to apply the concepts of refactoring at higher level of abstraction based on ...
Mohamed Maddeh   +3 more
doaj   +1 more source

Generalized linear mixed-model (GLMM) trees: A flexible decision-tree method for multilevel and longitudinal data

open access: yesPsychotherapy Research, 2020
Objective: Decision-tree methods are machine-learning methods which provide results that are relatively easy to interpret and apply by human decision makers.
Marjolein Fokkema   +2 more
semanticscholar   +1 more source

A new flow chip in combination with multiphoton microscopy as a protocol for longitudinal 3D imaging of tissue calcification under shear stress

open access: yesFEBS Open Bio, EarlyView.
Miniaturized flow chip platform enabling continuous perfusion and longitudinal multiphoton 3D imaging of vascular smooth muscle cell constructs under physiological flow. Brightfield imaging guides region selection, while CellTracker Green and mRuby‐labeled fetuin‐A visualize cells and mineral deposition, respectively. Magnesium supplementation markedly
Vytautas Kučikas   +6 more
wiley   +1 more source

MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees

open access: yesProceedings of the AAAI Conference on Artificial Intelligence
Decision trees remain one of the most popular machine learning models today, largely due to their out-of-the-box performance and interpretability. In this work, we present a Bayesian approach to decision tree induction via maximum a posteriori inference of a posterior distribution over trees.
Colin Sullivan   +2 more
openaire   +4 more sources

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