Results 41 to 50 of about 1,139,330 (298)

The newfound relationship between extrachromosomal DNAs and excised signal circles

FEBS Letters, EarlyView.
Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley   +1 more source

Stochastic Modeling of Particle Transport in Confined Geometries: Problems and Peculiarities

Fluids, 2022
The equivalence between parabolic transport equations for solute concentrations and stochastic dynamics for solute particle motion represents one of the most fertile correspondences in statistical physics originating from the work by Einstein on Brownian
Giuseppe Procopio, Massimiliano Giona
doaj   +1 more source

Aggressive prostate cancer is associated with pericyte dysfunction

Molecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero, Ane Martinez‐Larrinaga, Joaquim Grego‐Bessa, Saioa Garcia‐Longarte, Hielke van Splunder, Ianire Astobiza, Amaia Ercilla, Laura Bozal‐Basterra, Isabel Mendizabal, Pilar Villacampa, Arkaitz Carracedo, Mariona Graupera   +11 more
wiley   +1 more source

LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro

Molecular Oncology, EarlyView.
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix, Daniel Samaga, Katharina Gehr, Benedek Dankó, Mohamed Schumann, Guido Drexler, Ahmed Alnatsha, Georg Beyer, Ujjwal Mahajan, Martin Selmansberger, Julia Mayerle, Claus Belka, Horst Zitzelsberger, Kirsten Lauber   +13 more
wiley   +1 more source

k-Nearest Neighbour Estimation of the Conditional Set-Indexed Empirical Process for Functional Data: Asymptotic Properties

Axioms
The main aim of this paper is to improve the existing limit theorems for set-indexed conditional empirical processes involving functional strong mixing random variables.
Youssouf Souddi, Salim Bouzebda
doaj   +1 more source

The Use of Stochastic Models for Short-Term Prediction of Water Parameters of the Thesaurus Dam, River Nestos, Greece

Proceedings, 2018
The scope of this paper is to evaluate the short-term predictive capacity of the stochastic models ARIMA, Transfer Function (TF) and Artificial Neural Networks for water parameters, specifically for 1, 2 and 3 steps forward (m = 1, 2 and 3).
Antonis Sentas, Lina Karamoutsou, Nikos Charizopoulos, Thomas Psilovikos, Aris Psilovikos, Athanasios Loukas   +5 more
doaj   +1 more source

Data assimilation in slow-fast systems using homogenized climate models [PDF]

, 2011
A deterministic multiscale toy model is studied in which a chaotic fast subsystem triggers rare transitions between slow regimes, akin to weather or climate regimes.
Ambaum, Anderson, Anderson, Anderson, Anderson, Anderson, Bergemann, Berner, Berner, Branstator, Buizza, Cheng, Cornick, Corti, Crommelin, Crommelin, Crommelin, Crommelin, Ditlevsen, Egger, Ehrendorfer, Evensen, Evensen, Franzke, Franzke, Franzke, Franzke, Frederiksen, Gardiner, Georg A. Gottwald, Givon, Golub, Hamill, Hamill, Harlim, Harlim, Hasselmann, Hsu, Imkeller, Kalnay, Khasminsky, Kimoto, Kleeman, Kondrashov, Kramers, Kurtz, Kwasniok, Legras, Leith, Lewis Mitchell, Li, Lin, Lin, Lorenz, Lorenz, Luzzatto, Majda, Majda, Majda, Majda, Majda, Melbourne, Palmer, Palmer, Papanicolaou, Pavliotis, Pavliotis, Plant, Shutts, Siegert, Simon, Stemler, Stephenson, Sura, Sura, Talagrand, Tippett, Tucker, Wang, Wilks, Wilks, Wirth, Zwanzig   +82 more
core   +1 more source

Stochastic modelling [PDF]

Proceedings of the workshop on Data-driven methods in machine translation -, 2001
This paper gives an overview of the stochastic modelling approach to machine translation. Starting with the Bayes decision rule as in pattern classification and speech recognition, we show how the resulting system architecture can be structured into three parts: the language model probability, the string translation model probability and the search ...
openaire   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Functional Conditional Volatility Modeling With Missing Data: Inference and Application to Energy Commodities

Journal of Mathematics
This paper explores the nonparametric estimation of the volatility component in a heteroscedastic scalar-on-function regression model, where the underlying discrete-time process is ergodic and subject to a missing-at-random mechanism.
Abdelbasset Djeniah, Mohamed Chaouch, Amina Angelika Bouchentouf   +2 more
doaj   +1 more source