Results 41 to 50 of about 343,485 (273)

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

open access: yesMolecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice   +16 more
wiley   +1 more source

A Conditional Approach to Panel Data Models with Common Shocks

open access: yesEconometrics, 2016
This paper studies the effects of common shocks on the OLS estimators of the slopes’ parameters in linear panel data models. The shocks are assumed to affect both the errors and some of the explanatory variables. In contrast to existing approaches, which
Giovanni Forchini, Bin Peng
doaj   +1 more source

Sklar’s theorem, copula products, and ordering results in factor models

open access: yesDependence Modeling, 2021
We consider a completely specified factor model for a risk vector X = (X1, . . ., Xd), where the joint distributions of the components of X with a risk factor Z and the conditional distributions of X given Z are specified.
Ansari Jonathan, Rüschendorf Ludger
doaj   +1 more source

Robustness and Conditional Independence Ideals [PDF]

open access: yes, 2011
We study notions of robustness of Markov kernels and probability distribution of a system that is described by $n$ input random variables and one output random variable.
Johannes Rauh   +3 more
core   +2 more sources

Testing Conditional Independence of Discrete Distributions

open access: yes, 2018
We study the problem of testing \emph{conditional independence} for discrete distributions. Specifically, given samples from a discrete random variable $(X, Y, Z)$ on domain $[\ell_1]\times[\ell_2] \times [n]$, we want to distinguish, with probability at
Acharya J.   +9 more
core   +1 more source

Conditional Independence Trees [PDF]

open access: yes, 2004
It has been observed that traditional decision trees produce poor probability estimates. In many applications, however, a probability estimation tree (PET) with accurate probability estimates is desirable. Some researchers ascribe the poor probability estimates of decision trees to the decision tree learning algorithms. To our observation, however, the
Harry Zhang, Jiang Su
openaire   +1 more source

Evolutionarily divergent DUF4465 domains have a common vitamin B12‐binding function

open access: yesFEBS Open Bio, EarlyView.
We show that DUF4465 family proteins, widespread across bacteria from gut microbiomes, hydrothermal vents, and soil, share a common vitamin B12‐binding function. These augmented β‐jellyroll proteins bind vitamin B12 via extended loops. Our findings establish sequence‐diverse DUF4465 proteins as a widespread class of B12‐binding proteins, highlighting ...
Charlea Clarke   +4 more
wiley   +1 more source

Bayesian nonparametric tests via sliced inverse modeling [PDF]

open access: yes, 2015
We study the problem of independence and conditional independence tests between categorical covariates and a continuous response variable, which has an immediate application in genetics.
Jiang, Bo, Liu, Jun S., Ye, Chao
core  

Developmental, Neuroanatomical and Cellular Expression of Genes Causing Dystonia

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Dystonia is one of the most common movement disorders, with variants in multiple genes identified as causative. However, an understanding of which developmental stages, brain regions, and cell types are most relevant is crucial for developing relevant disease models and therapeutics.
Darren Cameron   +5 more
wiley   +1 more source

Onasemnogene Abeparvovec in Type I Spinal Muscular Atrophy: 24‐Month Follow‐Up From the Italian Registry

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Onasemnogene abeparvovec (OA) is an AAV9‐based gene therapy for spinal muscular atrophy type I (SMA I). Real‐world outcomes show increased response variability compared to clinical trials, and follow‐up data beyond 12–18 months are limited.
Marika Pane   +43 more
wiley   +1 more source

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