Results 201 to 210 of about 1,465,298 (295)

Identifying phenotype-genotype-function coupling in 3D organoid imaging using Shape, Appearance and Motion Phenotype Observation Tool (SPOT)

open access: yes
Zhou FY   +13 more
europepmc   +1 more source

KMT2C Loss Promotes NF2‐Wildtype Meningioma Progression and Ferroptosis Sensitivity via Epigenetic Repression of Hippo Signaling

open access: yesAdvanced Science, EarlyView.
In NF2–wild‐type meningiomas, loss of the epigenetic regulator KMT2C suppresses NF2 transcription and inactivates Hippo signaling, driving tumor progression and increasing ferroptosis sensitivity. Restoration of histone acetylation reverses these effects and inhibits tumor growth, identifying KMT2C as a key regulator linking epigenetic control, NF2 ...
Liuchao Zhang   +13 more
wiley   +1 more source

Radiomics Results for Adrenal Mass Characterization Are Stable and Reproducible Under Different Software. [PDF]

open access: yesLife (Basel)
Feliciani G   +9 more
europepmc   +1 more source
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Bounded‐error estimation using dead zone and bounding ellipsoid

International Journal of Adaptive Control and Signal Processing, 1994
AbstractThe use of a dead zone and a bounding ellipsoid for parameter estimation when measurement errors are bounded is discussed. the size of the dead zone is set to be exactly equal to the assumed noise bound. The algorithm retains the properties of computing parameter point estimates and allows a bounding ellipsoid to be computed at each iterative ...
Evans, R. J., Zhang, C., Soh, Y. C.
openaire   +2 more sources

Multiweight optimization in optimal bounding ellipsoid algorithms

IEEE Transactions on Signal Processing, 2006
Optimal Bounding Ellipsoid (OBE) algorithms offer an attractive alternative to traditional least-squares methods for identification and filtering problems involving affine-in-parameters signal and system models. The benefits-including low computational efficiency, superior tracking ability, and selective updating that permits processor multi-tasking ...
D. Joachim, J.R. Deller
openaire   +2 more sources

Recurrent Neural Networks Training With Stable Bounding Ellipsoid Algorithm

IEEE Transactions on Neural Networks, 2009
Bounding ellipsoid (BE) algorithms offer an attractive alternative to traditional training algorithms for neural networks, for example, backpropagation and least squares methods. The benefits include high computational efficiency and fast convergence speed.
Wen, Yu, José, de Jesús Rubio
openaire   +3 more sources

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