Results 71 to 80 of about 422,581 (268)
Learning Graphical Models With Hubs
We consider the problem of learning a high-dimensional graphical model in which certain hub nodes are highly-connected to many other nodes. Many authors have studied the use of an l1 penalty in order to learn a sparse graph in high-dimensional setting.
Kean Ming Tan +5 more
openaire +4 more sources
Golgi enzymes are retrieved from the plasma membrane to the trans‐Golgi network
Golgi enzymes are traditionally considered resident proteins retained within the Golgi apparatus. Here, we demonstrate that a subset transiently reaches the cell surface and is subsequently retrieved to the trans‐Golgi network via retrograde transport. Using a nanobody‐based toolkit, we uncover a dynamic trafficking cycle of several Golgi enzymes.
Dominik P. Buser, Tina Junne
wiley +1 more source
Ecological analyses typically involve many interacting variables. Ecologists often specify lagged interactions in community dynamics (i.e. vector‐autoregressive models) or simultaneous interactions (e.g.
James T. Thorson +3 more
doaj +1 more source
Obesity raises blood levels of PAI‐1, a protein linked to metabolic dysfunction‐associated steatotic liver disease in people with obesity. In female mice fed a high‐fat diet, partially lowering PAI‐1 led to smaller subcutaneous fat cells and lower liver cholesterol, without changing body weight or insulin sensitivity.
Claudia E. Ramirez Bustamante +10 more
wiley +1 more source
Spatio-Temporal Graphical-Model-Based Multiple Facial Feature Tracking
It is challenging to track multiple facial features simultaneously when rich expressions are presented on a face. We propose a two-step solution. In the first step, several independent condensation-style particle filters are utilized to track each ...
Su Congyong, Huang Li
doaj +1 more source
Data Mining with Graphical Models [PDF]
Data Mining, or Knowledge Discovery in Databases, is a fairly young research area that has emerged as a reply to the flood of data we are faced with nowadays. It tries to meet the challenge to develop methods that can help human beings to discover useful patterns in their data.
Rudolf Kruse, Christian Borgelt
openaire +1 more source
Emerging experimental and computational methods for studying redox‐regulated structural transitions
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
wiley +1 more source
Probabilistic Graphical Models [PDF]
This report presents probabilistic graphical models that are based on imprecise probabilities using a simplified language. In particular the discussion is focused on credal networks and discrete domains. It describes the building blocks of credal networks algorithms to perform inference and discusses on complexity results and related work.
Antonucci, Alessandro +2 more
openaire +1 more source
Graphical models of separation logic
Labelled graphs are used to model control and data flow among events occurring in the execution of a (possibly concurrent) program. Data flow is a unifying concept that covers both access to memory and communication along channels; it covers many variations including weakly consistent memory, re-ordered execution, and communication channels that are ...
Wehrman, I, Hoare, C, O'Hearn, P
openaire +2 more sources
Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell +2 more
wiley +1 more source

