Results 151 to 160 of about 10,579,206 (300)

Causal Machine Learning for Macroeconomic Forecasting Under Structural Breaks and Economic Uncertainty

Economies
Macroeconomic forecasting has become increasingly challenging in environments characterized by structural breaks, nonlinear dynamics, and elevated economic uncertainty.
Oumaima Abouzaid, Faouzi Boussedra
doaj   +1 more source

Dynamic Structural Causal Models

For a revised and extended version of this work, see arXiv:2607 ...
Boeken, Philip, Mooij, Joris M.
openaire   +2 more sources

The VHL tumor suppressor at the crossroad of protein folding, aggregation, and cancer

Molecular Oncology, EarlyView.
Mutations, environmental stress, and chaperone dysfunction can destabilize pVHL, promoting its conversion from the native folded state into amyloid‐like assemblies. This transition may contribute to protein storage, cell dormancy, survival, and drug resistance.
Lara Abad, Silvio Carlo Ermanno Tosatto, Emanuela Leonardi   +2 more
wiley   +1 more source

Sequential Matching Estimation of Dynamic Causal Models [PDF]

This paper proposes sequential matching and inverse selection probability weighting to estimate dynamic casual effects. The sequential matching estimators extend simple, matching estimators based on propensity scores for static causal analysis that have ...
Michael Lechner
core  

Learning Structural Causal Models from Ordering: Identifiable Flow Models

In this study, we address causal inference when only observational data and a valid causal ordering from the causal graph are available. We introduce a set of flow models that can recover component-wise, invertible transformation of exogenous variables ...
Khoa Le, Minh, Tran, Truyen, Do, Kien
core   +2 more sources

Extracellular vesicle lipidomics liquid biopsy reveals systemic and tumor microenvironment metabolic reprogramming in ovarian cancer

Molecular Oncology, EarlyView.
Extracellular vesicle (EV) lipidomic profiling of plasma and ascites from patients with high‐grade serous ovarian cancer and of ovarian cancer cell lines reveals enrichment of triglycerides (TGs), diacylglycerols (DGs), phosphatidylcholine (PCs), sphingomyelins (SMs), reflecting tumor metabolic reprogramming.
Shikha Rani, Dominic Guanzon, Andrew Lai, Katherin Scholz‐Romero, Sarah Reed, Edita Ritmejeryte, Rohan Lourie, Naven Chetty, Kaltin Ferguson, Carlos Salomon   +9 more
wiley   +1 more source

Causal Parameters and Policy Analysis in Economcs: A Twentieth Century Retrospective [PDF]

The major contributions of twentieth century econometrics to knowledge were the definition of causal parameters when agents are constrained by resources and markets and causes are interrelated, the analysis of what is required to recover causal ...
James L. Heckman
core  

Paclitaxel induces NM2‐dependent cellular contraction through GEF‐H1 dissociation from microtubules and RhoA/ROCK activation in cancer cells

Molecular Oncology, EarlyView.
Taxanes are widely used chemotherapeutics whose effects on cellular mechanics remain poorly understood. We show that paclitaxel induces rapid cellular contraction by promoting GEF‐H1 dissociation from microtubules and non‐muscle myosin II activation through RhoA/ROCK.
Gloria Asensio‐Juárez, Rafael Pérez‐Díaz, Hugo Ramos‐Solano, Marina Garrido‐Casado, Vanessa C. Talayero, Miguel Vicente‐Manzanares   +5 more
wiley   +1 more source

Causal generalized linear models via Pearson risk invariance

Journal of Causal Inference
Prediction invariance of causal models under heterogeneous settings has been exploited by a number of recent methods for causal discovery, typically focussing on recovering the causal parents of a target variable of interest.
Polinelli Alice, Vinciotti Veronica, Wit Ernst C.   +2 more
doaj   +1 more source

APOBEC3 activity and DNA polymerase‐ε deficiency are associated with distinct IDH1 R132 hotspot mutations

Molecular Oncology, EarlyView.
Isocitrate dehydrogenase 1 (IDH1) mutations are highly recurrent in multiple human cancer types, including cholangiocarcinoma and glioma. IDH1 R132C is the most common IDH1 mutation in cholangiocarcinoma and likely arises from APOBEC3A‐ or APOBEC3B‐mediated deamination.
Kelly E. Butler, Bilal A. Lone, Ecem Unal, A. Rouf Banday   +3 more
wiley   +1 more source