Results 41 to 50 of about 729,681 (329)
Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
Tutorial on the Use of the regsem Package in R
Psych, 2021 Sparse estimation through regularization is gaining popularity in psychological research. Such techniques penalize the complexity of the model and could perform variable/path selection in an automatic way, and thus are particularly useful in models that ...
Xiaobei Li +2 more
doaj +1 more source
The supervised IBP: neighbourhood preserving infinite latent feature models [PDF]
, 2013 We propose a probabilistic model to infer supervised latent variables in the Hamming space from observed data. Our model allows simultaneous inference of the number of binary latent variables, and their values. The latent variables preserve neighbourhood
, +4 more
core +4 more sources
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks
, 2019 Generative Adversarial networks (GANs) have obtained remarkable success in many unsupervised learning tasks and unarguably, clustering is an important unsupervised learning problem.
Asnani, Himanshu +3 more
core +1 more source
E2A selectively regulates TGF‐β–induced apoptosis in KRAS‐mutant non‐small cell lung cancer
Molecular Oncology, EarlyView.Ability to induce apoptosis by TGF‐β is frequently lost in advanced lung adenocarcinoma despite intact TGF‐β signaling. We identify E2A as a mutant KRAS–dependent mediator of resistance to TGF‐β–induced apoptosis. TGF‐β induces E2A via SMAD3 in mutant KRAS cells, and E2A silencing restores apoptosis and enhances radiation response in cell lines ...
Sergei Chuikov +3 more
wiley +1 more source
Molecular Oncology, EarlyView.Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary +1 more
wiley +1 more source
Resources, 2018 This research aimed to analyze the influence of the direct and indirect relationships of economic, social, and environmental factors as well as predict their future effects by applying a path analysis of a generalized method of moments model (path ...
Pruethsan Sutthichaimethee +1 more
doaj +1 more source
Bayesian comparison of latent variable models: Conditional vs marginal likelihoods
, 2019 Typical Bayesian methods for models with latent variables (or random effects) involve directly sampling the latent variables along with the model parameters.
Furr, D. +2 more
core +1 more source
HIV‐1 establishes immediate latency in T cells expressing the viral Nef protein
FEBS Open Bio, EarlyView.Nef is a viral protein often omitted from HIV‐1 reporter viruses. Consequently, its role in viral latency is unclear. We developed three novel dual reporter HIV‐1 derivatives that express Nef and allow for detection of latent and productive infection. Using these reporters, we show that Nef does not affect the establishment of immediate viral latency ...
Cindy Lam, Ivan Sadowski
wiley +1 more source
A Class of Two-Timescale Stochastic EM Algorithms for Nonconvex Latent Variable Models [PDF]
, 2022 Belhal Karimi, Ping Li
openalex +1 more source