Results 51 to 60 of about 8,651,360 (289)

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

FEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri, Ayaka Nagasato‐Ichikawa, Keita Iida, Shuhei Kimura, Akira Imamoto, Mariko Okada   +5 more
wiley   +1 more source

A Fully Pipelined Probability Density Function Engine for Gaussian Copula Model

Tsinghua Science and Technology, 2014
The Gaussian Copula Probability Density Function (PDF) plays an important role in the fields of finance, hydrological modeling, biomedical study, and texture retrieval.
Huabin Ruan, Xiaomeng Huang, Haohuan Fu, Guangwen Yang   +3 more
doaj   +1 more source

Probability hypothesis density filtering for real-time traffic state estimation and prediction [PDF]

, 2013
The probability hypothesis density (PHD) methodology is widely used by the research community for the purposes of multiple object tracking. This problem consists in the recursive state estimation of several targets by using the information coming from an
Mihaylova, Lyudmila, Canaud, M., Faouzi, Nour-Eddin El, Sau, Jacques, Canaud, Matthieu, El Faouzi, Nour-Eddin, Mihaylova, L., Sau, J., El Faouzi, N.E., EL FAOUZI, Nour Eddin   +9 more
core   +1 more source

Emerging experimental and computational methods for studying redox‐regulated structural transitions

FEBS Letters, EarlyView.
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass, Dana Reichmann, Gábor Erdős   +2 more
wiley   +1 more source

Unwrapped Phase Estimation via Normalized Probability Density Function for Multibaseline InSAR

IEEE Access, 2019
Interferometric synthetic aperture radar (InSAR) is a powerful technique for obtaining terrain information based on the interferometric phase. Multibaseline (MB) InSAR is an extension of the conventional InSAR and is used to improve the estimation ...
Huaping Xu, Shuo Li, Yanan You, Aifang Liu, Wei Liu   +4 more
doaj   +1 more source

Convex Optimization on Functionals of Probability Densities [PDF]

, 2020
In information theory, some optimization problems result in convex optimization problems on strictly convex functionals of probability densities.In this note, we study these problems and show conditions of minimizers and the uniqueness of the minimizer if there exist a minimizer.
openaire   +2 more sources

Translophagy—A potential link between autophagy impairment and translational errors

FEBS Letters, EarlyView.
Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk, Gailing Ma, Robin Antrobus, Diego Manni, Marco Trevisan‐Herraz, Mustafa Khwaja, Max Brown, Gavin D. Richardson, Masaaki Komatsu, Daniel Erskine, Viktor I. Korolchuk, Tetsushi Kataura   +11 more
wiley   +1 more source

Heuristic Kernel Density Estimator for Modal‑Proximity Data

Shuju Caiji Yu Chuli
Different from the classical probability density estimator construction strategies based on the Parzen window method， we propose a heuristic kernel density estimator （HKDE） based on nearest neighbor error measurement function， to improve the accuracy of ...
HE Yulin, CHEN Chunjia, HUANG Zhexue, LI Junjie, FOURNIER‑VIGER Philippe   +4 more
doaj   +1 more source

A Verified Compiler for Probability Density Functions [PDF]

, 2015
Presented at ESOP ...
Manuel Eberl, Johannes Hölzl, Tobias Nipkow   +2 more
openaire   +4 more sources

A Survey of Density Estimation for SAR Images [PDF]

, 2012
Modeling of synthetic aperture radar (SAR) images has been an important topic of research since the inception of SAR satellites. Many theoretical and empirical models have been presented in literature to accurately model the amplitude SAR images. The
Cui, Shiyong, Gleich, Dušan, Singh, Jagmal, Dusan, Gleich, Datcu, Mihai   +4 more
core   +1 more source