Results 71 to 80 of about 110,606 (256)

Spatial biology in cancer epigenetics

open access: yesMolecular Oncology, EarlyView.
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley   +1 more source

Adaptive Target Birth Intensity Multi-Bernoulli Filter with Noise-Based Threshold

open access: yesSensors, 2019
Adaptively modeling the target birth intensity while maintaining the filtering efficiency is a challenging issue in multi-target tracking (MTT). Generally, the target birth probability is predefined as a constant and only the target birth density is ...
Xiaolong Hu, Hongbing Ji, Long Liu
doaj   +1 more source

ADP‐ribosylation: An emerging regulator of the epigenome

open access: yesMolecular Oncology, EarlyView.
ADP‐ribosylation has emerged as a dynamic epigenetic signaling mechanism that modifies histones and chromatin‐associated proteins. Through coordinated PARylation and MARylation, it integrates with other histone modifications to regulate chromatin structure, transcription factor activity, and gene expression, influencing genome function and disease ...
Cristel V. Camacho   +2 more
wiley   +1 more source

A Networked Radar Beam Allocation Method for Multi‐Target Tracking in Multi‐Jammer Scenario

open access: yesIET Radar, Sonar & Navigation
This paper focuses on the problem of mainlobe interference suppression in radar networks tracking multi‐target scenarios with multiple jammers. A beam allocation method is proposed based on stepwise suppression of mainlobe and sidelobe interference ...
Lei Zhang   +4 more
doaj   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

open access: yesFEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill   +4 more
wiley   +1 more source

Blood‐based proteomic profiling reveals context‐dependent changes in BCL2‐associated signaling during taxane therapy in breast cancer patients

open access: yesFEBS Open Bio, EarlyView.
Chemotherapy side effects significantly impact cancer survivors' quality of life. Using protein levels in blood samples from breast cancer patients before and after 12 weeks of taxane treatment, we detected treatment‐dependent changes in calcium signaling and aging pathways associated with cancer recurrence.
Saira Munshani   +6 more
wiley   +1 more source

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

open access: yesFEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong   +3 more
wiley   +1 more source

Visual Multi-target Tracking

open access: yes, 2020
Speaker following is a difficult assignment and for the most part no scientific arrangement is accessible, particularly for the multi-speaker following framework, which is a high dimensional and non-direct framework. To address this issue, likelihood theory thickness (PHD) filter is utilized by proliferating the PHD rather than the irregular limited ...
openaire   +2 more sources

Multi-target Tracking with Poisson Processes Observations [PDF]

open access: yes, 2007
This paper considers the problem of Bayesian inference in dynamical models with time-varying dimension. These models have been studied in the context of multiple target tracking problems and for estimating the number of components in mixture models.
Sergio Hernández, Paul D. Teal
openaire   +1 more source

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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