Results 141 to 150 of about 343,435 (310)

On the Choice of Prior in Bayesian Model Averaging

open access: yes
Bayesian model averaging attempts to combine parameter estimation and model uncertainty in one coherent framework. The choice of prior is then critical.
Kumar, K., Magnus, J.R., Einmahl, J.H.J.
core  

Oncogenic DMTF1β promotes cancer cell motility by regulating autophagy through ULK1 stabilization

open access: yesMolecular Oncology, EarlyView.
In the current study, we demonstrate that the oncogene DMTF1β regulates ULK1 stability by reducing its proteasomal degradation in cancer cells. This stabilization enables ULK1 to induce autophagy, which in turn facilitates cancer cell migration. Consequently, reduced DMTF1β levels lead to decreased autophagy and impaired cancer cell migration.
Jun Xu   +13 more
wiley   +1 more source

Bayesian Averaging, Prediction and Nonnested Model Selection [PDF]

open access: yes
This paper studies the asymptotic relationship between Bayesian model averaging and post-selection frequentist predictors in both nested and nonnested models.
Han Hong, Bruce Preston
core  

Model averaging: A shrinkage perspective

open access: yesElectronic Journal of Statistics
Model averaging (MA), a technique for combining estimators from a set of candidate models, has attracted increasing attention in machine learning and statistics. In the existing literature, there is an implicit understanding that MA can be viewed as a form of shrinkage estimation that draws the response vector towards the subspaces spanned by the ...
openaire   +2 more sources

Tumor B‐cell infiltration in platinum‐treated advanced muscle‐invasive urothelial carcinoma

open access: yesMolecular Oncology, EarlyView.
Bladder tumors with higher pretreatment memory B‐cell infiltration were linked to longer survival after cisplatin chemotherapy, but not carboplatin. These tumors also showed more organized immune structures (tertiary lymphoid structures) and a shared pro‐inflammatory B‐cell‐rich community, suggesting that memory B cells may help identify patients most ...
Konrad Stawiski   +10 more
wiley   +1 more source

Patient therapy outcome modeling in cancer organoids is improved by cancer‐associated fibroblasts and organoid assembly convolution

open access: yesMolecular Oncology, EarlyView.
Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski   +12 more
wiley   +1 more source

Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer

open access: yesMolecular Oncology, EarlyView.
Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola   +11 more
wiley   +1 more source

Do determinants of FDI to developing countries differ among OECD investors? Insights from Bayesian Model Averaging [PDF]

open access: yes
The main objective of this paper is to examine the determining factors of outward FDI from four major OECD investors US, Germany, France and the Netherlands to developing countries located in different world regions.
Gabriele Tondl, Nikolaos Antonakakis
core   +2 more sources

An Efficient Quasi‐Monte Carlo Method for Concurrent Estimation of First‐Order and Total‐Effect Process Sensitivity Indices

open access: yesWater Resources Research
Developing and improving process‐based models requires identifying the importance and/or influence of various processes driving system behavior. In our recent studies, important processes are identified using first‐order process sensitivity index PSK ...
Jing Yang   +4 more
doaj   +1 more source

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