Results 81 to 90 of about 32,006,081 (306)

Reciprocal control of viral infection and phosphoinositide dynamics

FEBS Letters, EarlyView.
Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley   +1 more source

Estimation of Conditional Survival Function under Dependent Right Random Censored Data

Austrian Journal of Statistics, 2020
In this paper considered problem consist in estimation of conditional survival function by right random censoring model in the presence of covariate. We propose a new estimator of conditional survival function and study its large sample properties.
Abdushukurov Abdurahim Ahmedovich
doaj   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

System identification of signaling dependent gene expression with different time-scale data. [PDF]

PLoS Computational Biology, 2017
Cells decode information of signaling activation at a scale of tens of minutes by downstream gene expression with a scale of hours to days, leading to cell fate decisions such as cell differentiation.
Takaho Tsuchiya, Masashi Fujii, Naoki Matsuda, Katsuyuki Kunida, Shinsuke Uda, Hiroyuki Kubota, Katsumi Konishi, Shinya Kuroda   +7 more
doaj   +1 more source

Random Forests for dependent data

CoRR, 2020
Random forest (RF) is one of the most popular methods for estimating regression functions. The local nature of the RF algorithm, based on intra-node means and variances, is ideal when errors are i.i.d. For dependent error processes like time series and spatial settings where data in all the nodes will be correlated, operating locally ignores this ...
Arkajyoti Saha, Sumanta Basu, Abhirup Datta   +2 more
openaire   +2 more sources

Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?

FEBS Letters, EarlyView.
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes, Guilherme M. Azevedo, Amanda P. Barcellos, Diana Bahia   +3 more
wiley   +1 more source

Non-Iterative Cluster Routing: Analysis and Implementation Strategies

Applied Sciences
In conventional routing, a capsule network employs routing algorithms for bidirectional information flow between layers through iterative processes. In contrast, the cluster routingtechnique utilizes a non-iterative process and can outperform state-of ...
Huong Pham, Samuel Cheng
doaj   +1 more source

k Nearest Neighbor Search for Location-Dependent Sensor Data in MANETs

IEEE Access, 2015
K nearest neighbor (kNN) queries, which retrieve the k nearest sensor data items associated with a location (location-dependent sensor data) from the location of the query issuer, are useful for location-based services in mobile environments.
Yuka Komai, Yuya Sasaki, Takahiro Hara, Shojiro Nishio   +3 more
doaj   +1 more source

Generalized Multiple Dependent State Sampling Plans in Presence of Measurement Data

IEEE Access, 2020
This article introduces a generalized version of the multiple dependent state sampling plan based on the measurement data, that is, when the quality characteristic is measured in a numerical scale.
Ritwik Bhattacharya, Muhammad Aslam
doaj   +1 more source

Asymptotic normality of the truncation probability estimator for truncated dependent data [PDF]

Iranian Journal of Numerical Analysis and Optimization, 2009
In some long term studies, a series of dependent and possibly truncated life-times may be observed. Suppose that the lifetimes have a common marginal distribution function. In left-truncation model, one observes data (Xi,Ti) only, when Ti ≤ Xi.
S. Jomhoori, V. Fakoor, H. A. Azarnoosh
doaj   +1 more source