Results 71 to 80 of about 22,758,545 (367)
Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia
This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley +1 more source
Heterogeneous Reciprocal Graphical Models [PDF]
Summary We develop novel hierarchical reciprocal graphical models to infer gene networks from heterogeneous data. In the case of data that can be naturally divided into known groups, we propose to connect graphs by introducing a hierarchical prior across group-specific graphs, including a correlation on edge strengths across graphs ...
Yang Ni+4 more
openaire +3 more sources
On graphical models and convex geometry
We introduce a mixture-model of beta distributions to identify significant correlations among $P$ predictors when $P$ is large. The method relies on theorems in convex geometry, which we use to show how to control the error rate of edge detection in graphical models. Our `betaMix' method does not require any assumptions about the network structure, nor
Bar, Haim, Wells, Martin T.
openaire +3 more sources
An Interdisciplinary Model for Graphical Representation [PDF]
The paper questions whether data-driven and problem-driven models are sufficient for a software to automatically represent a meaningful graphi-cal representation of scientific findings. The paper presents descriptive and prescriptive case studies to understand the benefits and the shortcomings of existing models that aim to provide graphical ...
Pierro, Giuseppe Antonio+3 more
openaire +4 more sources
Vines: A new graphical model for dependent random variables
A new graphical model, called a vine, for dependent random variables is introduced. Vines generalize the Markov trees often used in modelling high-dimensional distributions.
T. Bedford, R. Cooke
semanticscholar +1 more source
Discussion: Latent variable graphical model selection via convex optimization [PDF]
Discussion of "Latent variable graphical model selection via convex optimization" by Venkat Chandrasekaran, Pablo A. Parrilo and Alan S. Willsky [arXiv:1008.1290].
E. Candès, M. Soltanolkotabi
semanticscholar +1 more source
Low‐density lipoprotein receptor‐related protein 6 (LRP6) is a key receptor for the Wnt antagonist Dickkopf1 (DKK1). DKK1 protein expression is induced in a bleomycin (BLM)‐induced lung injury model. We show that DKK1 induces proinflammatory and profibrotic genes in lung fibroblasts.
Eun‐Ah Sung+6 more
wiley +1 more source
Sparse Nonparametric Graphical Models [PDF]
Published in at http://dx.doi.org/10.1214/12-STS391 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Lafferty, John+2 more
openaire +4 more sources
Mixed Nondeterministic-Probabilistic Automata: Blending graphical probabilistic models with nondeterminism [PDF]
Graphical models in probability and statistics are a core concept in the area of probabilistic reasoning and probabilistic programming-graphical models include Bayesian networks and factor graphs. In this paper we develop a new model of mixed (nondeterministic/probabilistic) automata that subsumes both nondeterministic automata and graphical ...
arxiv
Paired comparison data considered in this paper originate from the comparison of a large number N of individuals in couples. The dataset is a collection of results of contests between two individuals when each of them has faced n opponents, where n is ...
Corff, Sylvain Le+2 more
core +2 more sources