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Inhibition of cyclin‐dependent kinases 12/13 using CT7439 as a treatment for colorectal cancer with CDK12 upregulation

Molecular Oncology, EarlyView.
The proposed mechanism of action for the CDK12/13 inhibitor and cyclin K degrader, CT7439. CDK12/13 inhibition interrupts transcription elongation, leading to increased DNA damage that results in cell death. This agent is a potentially novel treatment option for patients with colorectal cancer. Created in BioRender. Cyclin‐dependent kinase (CDK) 12 and
Wylie K. Watlington +10 more
wiley +1 more source

Quantile regression for static panel data models with time-invariant regressors. [PDF]

PLoS One, 2023
Tao L, Tai L, Tian M.
europepmc +1 more source

Panel Data Estimation Techniques for Farm-level Data Model [PDF]

Econometric models wishing to estimate relevant parameters for agricultural policy analysis are increasingly relying on unbalanced panels of farm-level data.
Sckokai, Paolo, Moro, Daniele, Platoni, Silvia +2 more
core

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

Molecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq +8 more
wiley +1 more source

Does Fiscal Devaluation Work for Everyone? Diversified Impact of Fiscal Devaluation on Employment Rates

Gospodarka Narodowa. The Polish Journal of Economics
The study analyses the effects of fiscal devaluation on employment rates and finds that the significance and magnitude of this impact vary considerably by gender and age. The effect is substantially stronger for men than for women.
Piotr Cizkowicz, Andrzej Rzońca, Wiktor Wojciechowski +2 more
doaj +1 more source

Hidden Markov models for multivariate panel data

Statistics and Computing
While advances continue to be made in model-based clustering, challenges persist in modeling various data types such as panel data. Multivariate panel data present difficulties for clustering algorithms because they are often plagued by missing data and dropouts, presenting issues for estimation algorithms.
Mackenzie R. Neal +2 more
openaire +3 more sources

Moment Conditions and Neglected Endogeneity in Panel Data Models [PDF]

This paper develops a new moment condition for estimation of linear panel data models. When added to the set of instruments devised by Anderson, Hsiao (1981, 1982) for the dynamic model, the proposed approach can outperform the GMM methods customarily ...
Giorgio Calzolari, Laura Magazzini
core

A penalized spline estimator for fixed effects panel data models [PDF]

, 2016
Estimating nonlinear effects of continuous covariates by penalized splines is well established for regressions with cross-sectional data as well as for panel data regressions with random effects. Penalized splines are particularly advantageous since they
Peter Pütz +3 more
core +1 more source

Circulating microRNA signatures of cachexia and cancer in Canis familiaris as a comparative oncology model for human disease

Molecular Oncology, EarlyView.
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park +6 more
wiley +1 more source

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