Results 61 to 70 of about 87,229 (314)

Interpreting the effects of DNA polymerase variants at the structural level

open access: yesMolecular Oncology, EarlyView.
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi   +7 more
wiley   +1 more source

Automatic gait recognition by symmetry analysis

open access: yes, 2003
We describe a new method for automatic gait recognition based on analysing the symmetry of human motion using the Generalised Symmetry Operator. This approach is reinforced by the psychologists' view that gait is a symmetrical pattern of motion and ...
James B. Hayfron-acquah   +5 more
core   +1 more source

Label-free classification of cells based on supervised machine learning of subcellular structures.

open access: yesPLoS ONE, 2019
It is demonstrated that cells can be classified by pattern recognition of the subcellular structure of non-stained live cells, and the pattern recognition was performed by machine learning. Human white blood cells and five types of cancer cell lines were
Yusuke Ozaki   +15 more
doaj   +1 more source

A Colour Code Algorithm For Signature Recognition

open access: yesELCVIA Electronic Letters on Computer Vision and Image Analysis, 2007
The paper "A Colour Code Algorithm for Signature Recognition" accounts an image processing application where any user can verify signature instantly. The system deals with a Colour code algorithm, which is used to recognize the signature. The paper deals
Vinayak B. Kulkarni
doaj   +1 more source

Automated recognition of design patterns for framework understanding.

open access: yesRITA, 1997
System design is one of the most important tasks in the software development cycles but it is also one of the most complex and time-consuming tasks. Thus, reuse of existing designs becomes very important. Object-oriented frameworks are generic designs for specific application domains that enable the reuse of designs and domain expert experience.
Campo, Marcelo Ricardo   +1 more
openaire   +1 more source

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

open access: yesMolecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska   +13 more
wiley   +1 more source

Unsupervised Texture Segmentation using Active Contours and Local Distributions of Gaussian Markov Random Field Parameters [PDF]

open access: yes, 2012
In this paper, local distributions of low order Gaussian Markov Random Field (GMRF) model parameters are proposed as texture features for unsupervised texture segmentation.Instead of using model parameters as texture features, we exploit the variations ...
Michael Bennet   +7 more
core   +1 more source

Automated Three-Dimensional Microbial Sensing and Recognition Using Digital Holography and Statistical Sampling

open access: yesSensors, 2010
We overview an approach to providing automated three-dimensional (3D) sensing and recognition of biological micro/nanoorganisms integrating Gabor digital holographic microscopy and statistical sampling methods.
Inkyu Moon, Faliu Yi, Bahram Javidi
doaj   +1 more source

INFORMATION TECHNOLOGY OF AUTOMATIC DETECTION AND IDENTIFICATION OF STATIONARY OBJECTS WITH UNMANNED AERIAL VEHICLES

open access: yesСучасні інформаційні системи, 2020
The subject matter of the article is the process of developing information technology for the automated detection and identification of stationary objects by unmanned aerial vehicles arises.
Andrii Bеrеzhnyi   +2 more
doaj   +1 more source

Statistical uncertainty quantification to augment clinical decision support: a first implementation in sleep medicine

open access: yesnpj Digital Medicine, 2021
Machine learning has the potential to change the practice of medicine, particularly in areas that require pattern recognition (e.g. radiology). Although automated classification is unlikely to be perfect, few modern machine learning tools have the ...
Dae Y. Kang   +4 more
doaj   +1 more source

Home - About - Disclaimer - Privacy