Results 121 to 130 of about 31,735,543 (308)

Spatial heterogeneity of hotspot mutations and clonal relatedness in ovarian endometrioid carcinoma

Molecular Oncology, EarlyView.
Spatially resolved analysis revealed heterogeneous distributions of selected cancer‐associated mutations within ovarian endometrioid carcinomas. Shared mutations between paired endometrial and ovarian tumors supported clonal relatedness. These findings highlight the value of sampling multiple tumor regions when interpreting molecular profiles ...
Takahito Ashihara, Kosuke Murakami, Shiro Takamatsu, Akiko Kanto, Seiichi Mori, Tomoyuki Otani, Kazuko Sakai, Yasushi Kotani, Kazuto Nishio, Kaoru Abiko, Noriomi Matsumura   +10 more
wiley   +1 more source

Efficient Likelihood Evaluation of State-Space Representations [PDF]

We develop a numerical procedure that facilitates efficient likelihood evaluation in applications involving non-linear and non-Gaussian state-space models.
David N. DeJong, Guilherme Moura, Hariharan Dharmarajan, Roman Liesenfeld, Jean-Francois Richard   +4 more
core  

Inference and learning in state-space point process models: algorithms and applications

, 2013
Physiological signals such as neural spikes and heart beats are discrete events in time, driven by a continuous underlying system. A recently introduced data driven model to analyse such systems is the state-space model with point process observations ...
Yuan, Ke
core   +1 more source

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

FEBS 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, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

A Bayesian Analysis of Unobserved Component Models Using Ox

Journal of Statistical Software, 2011
This article details a Bayesian analysis of the Nile river flow data, using a similar state space model as other articles in this volume. For this data set, Metropolis-Hastings and Gibbs sampling algorithms are implemented in the programming language Ox.
Charles S. Bos
doaj  

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

FEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli, Mohammad Nour Alsamsam, Ugnė Bagdonaitė, Van Truc Vu, Chun‐Jen Huang, Polina Kuzhir, Mindaugas Zaremba, Aurimas Kopūstas, Marijonas Tutkus   +8 more
wiley   +1 more source

New electronic state documents list - October 2023

, 2023
The monthly New South Carolina State Documents publication by the State Library provides a list of state documents published by state agencies that have been cataloged and added to the South Carolina State Documents Depository.
South Carolina State Library
core  

Fitting State Space Models with EViews

Journal of Statistical Software, 2011
This paper demonstrates how state space models can be fitted in EViews. We first briefly introduce EViews as an econometric software package. Next we fit a local level model to the Nile data.
Filip A. M. Van den Bossche
doaj  

Development of Methods for Sensitivity Analysis of Electrical Energy Networks and Systems within State Space

Energies
This paper presents a new method that should make it possible to determine the sensitivity of uncontrolled electrical power grids with only a modest amount of effort.
Tobias Blenk, Christian Weindl
doaj   +1 more source

Burst suppression probability algorithms: state-space methods for tracking EEG burst suppression. [PDF]

J Neural Eng, 2013
Chemali J, Ching S, Purdon PL, Solt K, Brown EN.   +4 more
europepmc   +1 more source