Results 51 to 60 of about 16,527,400 (269)
Spatial biology in cancer epigenetics
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
Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche +10 more
wiley +1 more source
The VHL tumor suppressor at the crossroad of protein folding, aggregation, and cancer
Mutations, environmental stress, and chaperone dysfunction can destabilize pVHL, promoting its conversion from the native folded state into amyloid‐like assemblies. This transition may contribute to protein storage, cell dormancy, survival, and drug resistance.
Lara Abad +2 more
wiley +1 more source
The kinase SRPK1 directly interacts with the protein TOPBP1 and regulates the pre‐mRNA splicing of WIZ thereby contributing to the activation of the ATR/CHK1 replicative checkpoint in response to replicative stress. This allows cancer cells' genomic stability and survival.
Amani Shreim +17 more
wiley +1 more source
A recursive Riccati interior-point method for chance-constrained stochastic model predictive control
This study covers the model predictive control of linear discrete-time systems subject to stochastic additive disturbances and state chance constraints.
Jingyu Zhang, Toshiyuki Ohtsuka
doaj +1 more source
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 +6 more
wiley +1 more source
An infeasible interior-point algorithm for solving the $P_*$-matrix linear complementarity problem based on a kernel function with trigonometric barrier term is analyzed.
B. Kheirfam, M. Haghighi
doaj +1 more source
Bird biodiversity assessments in temperate forest: the value of point count versus acoustic monitoring protocols [PDF]
Effective monitoring programs for biodiversity are needed to assess trends in biodiversity and evaluate the consequences of management. This is particularly true for birds and faunas that occupy interior forest and other areas of low human population ...
Brian T. Klingbeil, Michael R. Willig
doaj +2 more sources
Interior-point methods in parallel computation [PDF]
Interior-point methods for linear programming, developed in the context of sequential computation, are used to obtain a parallel algorithm for the bipartite matching problem. The algorithm runs in O*( square root m) time. The results extend to the weighted bipartite matching problem and to the zero-one minimum-cost flow problem, yielding O*( square ...
Andrew V. Goldberg +3 more
openaire +2 more sources
A decomposition-based warm-start method for stochastic programming [PDF]
In this paper we propose a warm-start technique for interior point methods applicable to multi-stage stochastic linear programming problems. The main idea is to generate an initial point by decomposing the problem at the second stage and using an ...
Colombo, Marco +3 more
core +1 more source

