Results 71 to 80 of about 5,278,573 (290)

Tumour‐proximal deep serum proteomics identifies biomarkers associated with ovarian cancer

open access: yesMolecular Oncology, EarlyView.
New biomarkers are needed for early ovarian cancer detection. Ovarian (tumour‐proximal) and peripheral vein serum from healthy women and patients with benign or malignant tumours underwent nanoparticle‐enriched deep proteomics. Ovarian serum yielded more protein identifications and revealed tumour‐reflective signatures.
Darren Lau   +9 more
wiley   +1 more source

A Bayesian nonlinearity test for threshold moving average models [PDF]

open access: yes, 2010
We propose a Bayesian test for nonlinearity of threshold moving average (TMA) models. First, we obtain the marginal posterior densities of all parameters, including the threshold and delay, of the TMA model using Gibbs sampler with the Metropolis ...
Liu, Jinshan   +3 more
core   +3 more sources

Implementation of a Two-Threshold Quantum Image Segmentation Circuit in NEQR Format

open access: yesMathematics
Image segmentation is a fundamental operation in computer vision, used to partition an image into meaningful regions according to various attributes or spatial relationships among pixels.
Adrian Prodan   +2 more
doaj   +1 more source

The Presidential Threshold As An Open Legal Policy In General Elections In Indonesia

open access: yesProphetic Law Review, 2020
This paper aims to examine the implementation of the legal policy on presidential threshold in Indonesia after the stipulation of The Fourth Amendment of the Constitution of 1945. The stipulation of the presidential threshold based on the Constitutional
Al Mas’udah
doaj   +1 more source

Threshold Implementations with Non-uniform Inputs

open access: yes
sponsorship: We thank Tim Beyne for the interesting discussions. This work was supported by CyberSecurity Research Flanders with reference number VR20192203. (CyberSecurity Research Flanders|VR20192203)
Dhooghe, Siemen, Ovchinnikov, Artemii
openaire   +3 more sources

The impact of leukocyte‐associated RNA retention on platelet RNA‐based cancer detection

open access: yesMolecular Oncology, EarlyView.
Platelets carry RNA signals that may help detect cancer, but platelet samples can also retain RNA from white blood cells. We found that this retained white blood cell signal did not significantly affect machine learning cancer classification, suggesting that the cancer‐related RNA signal in platelets is largely independent of leukocyte‐associated RNA ...
Michał Sieczczyński   +12 more
wiley   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

open access: yesFEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz   +6 more
wiley   +1 more source

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

open access: yesFEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour   +2 more
wiley   +1 more source

The Stochastics of Threshold Accepting: Analysis of an Application to the Uniform Design Problem [PDF]

open access: yes
Threshold Accepting (TA) is a powerful optimization heuristic from the class of stochastic local search algorithms. It has been applied successfully to different optimization problems in statistics and econometrics, including the uniform design problem ...
Winker, Peter
core  

Directed evolution of enzymes at the crossroads of tradition and innovation

open access: yesFEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova   +2 more
wiley   +1 more source

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