Results 91 to 100 of about 946,904 (313)

Epigenetic blind spots – the role of DNA methylation dynamics in stem cell‐based models of embryogenesis

open access: yesFEBS Letters, EarlyView.
Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil   +4 more
wiley   +1 more source

Modular Local Classification via Cluster-Guided Feature Selection in Tabular Data

open access: yesActa Informatica Pragensia
Background: Many real-world tabular datasets are heterogeneous, with distinct regions of the feature space exhibiting different feature-label relationships.
Leila Boussaad
doaj   +1 more source

pH‐mediated activation of the lysosomal arginine sensor SLC38A9

open access: yesFEBS Letters, EarlyView.
Cells monitor nutrient levels via the lysosomal transporter SLC38A9 to activate the mechanistic target of rapamycin complex 1 (mTORC1). This study reveals that SLC38A9 function is regulated by pH. We identified histidine 544 as a critical pH sensor that undergoes conformational changes to control amino acid efflux from lysosomes; therefore, it ...
Xuelang Mu, Ampon Sae Her, Tamir Gonen
wiley   +1 more source

Classification via ensembles of basic thresholding classifiers

open access: yesIET Computer Vision, 2016
The authors present a sparsity‐based algorithm, basic thresholding classifier (BTC), for classification applications which is capable of identifying test samples extremely rapidly and performing high classification accuracy.
Mehmet Altan Toksöz, İlkay Ulusoy
doaj   +1 more source

(Hyper)Graph Embedding and Classification via Simplicial Complexes

open access: yesAlgorithms, 2019
This paper investigates a novel graph embedding procedure based on simplicial complexes. Inherited from algebraic topology, simplicial complexes are collections of increasing-order simplices (e.g., points, lines, triangles, tetrahedrons) which can be ...
Alessio Martino   +2 more
doaj   +1 more source

The ubiquitin‐proteasome system and autophagy as guardians of the cellular proteome

open access: yesFEBS Letters, EarlyView.
This Perspective covers the three principles governing the crosstalk between the ubiquitin‐proteasome system and autophagy in cellular proteostasis: (1) a shared ubiquitin code routing substrates via shuttle factors or autophagy receptors; (2) spatial compartmentalization into phase‐separated degradation hubs and organelle‐specific modules (exemplified
Ivan Dikic
wiley   +1 more source

Binarized support vector machines [PDF]

open access: yes, 2007
The widely used Support Vector Machine (SVM) method has shown to yield very good results in Supervised Classification problems. Other methods such as Classification Trees have become more popular among practitioners than SVM thanks to their ...
Martin-Barragan, Belen   +2 more
core  

General fuzzy min-max neural network for clustering and classification

open access: yes, 2000
This paper describes a general fuzzy min-max (GFMM) neural network which is a generalization and extension of the fuzzy min-max clustering and classification algorithms of Simpson (1992, 1993).
Gabrys, Bogdan, Bargiela, Andrzej
core   +1 more source

A new classification system of trifid mandibular canal derived from Malaysian population

open access: yes, 2023
Background: The purpose of this study was to identify and classify the anatomicvariation of mandibular canal among Malaysians of three ethnicities.Materials and methods: The courses of the mandibular canal in 202 cone-beamcomputed tomography scanned ...
Nambiar, P.; Department of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia; Faculty of Dentistry, MAHSA University, Jln SP 2, Bandar Saujana Putra, Jenjarum, Selangor, Malaysia   +6 more
core   +1 more source

Regression via Logic Supervised Classification [PDF]

open access: yes, 2013
An approach to the restoration of dependences (regressions) is proposed that is based on solving problems of supervised classification. The main task is finding the optimal partitioning of the range of values of dependent variable on a finite number of intervals. It is necessary to find optimal number of change-points and their positions.
openaire   +1 more source

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