Results 131 to 140 of about 383,950 (309)

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

open access: yesMolecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic   +10 more
wiley   +1 more source

Factor Residuals in SUR Regressions: Estimating Panels Allowing for Cross Sectional Correlation [PDF]

open access: yes
This paper describes a method for estimating panels by imposing a factor structure on the residuals. The method allows SUR estimation of panel models by providing a full-rank estimator of the system covariance matrix when the usual estimate is rank ...
Donald Robertson, James Symons
core  

Bridging the gap: a genetically validated avian chorioallantoic membrane platform for investigation of spontaneous circulating tumor cells

open access: yesMolecular Oncology, EarlyView.
We established the avian chorioallantoic membrane (CAM) assay as a scalable in vivo model for studying circulating tumor cells (CTCs). Human gastrointestinal tumors spontaneously released genetically validated CTCs that were detected across multiple platforms, demonstrating that the CAM model provides an accessible tool for investigating early cancer ...
Dennis Roth   +17 more
wiley   +1 more source

Chinese Stock Market Return Predictability: Adaptive Complete Subset Regressions

open access: yes, 2016
This paper proposes a new combination framework to explore the Chinese stock market return predictability. While most well-known predictor variables and simple combinations fail to beat the historical average benchmark, our adaptive complete subset ...
Chen, Keqi   +7 more
core   +1 more source

Regression Analysis [PDF]

open access: yesThe Computer Journal, 1962
openaire   +1 more source

SPHINX31 acts as a SRPK1 inhibitor targeting the ATR/DNA‐PKcs/CHK1 replicative checkpoint to inhibit cell growth in non‐small cell lung cancer

open access: yesMolecular Oncology, EarlyView.
The kinase SRPK1 directly interacts with the protein TOPBP1 and regulates the pre‐mRNA splicing of WIZ thereby contributing to the activation of the ATR/CHK1 replicative checkpoint in response to replicative stress. This allows cancer cells' genomic stability and survival.
Amani Shreim   +17 more
wiley   +1 more source

Estimation of multiple-regime regressions with least absolutes deviation [PDF]

open access: yes
This paper considers least absolute deviations estimation of a regression model with multiple change points occurring at unknown times. Some asymptotic results, including rates of convergence and asymptotic distributions, for the estimated change points ...
Jushan, Bai
core  

Explaining drivers of housing prices with nonlinear hedonic regressions

open access: yesMachine Learning with Applications
Housing markets play a critical role in shaping the spatial and demographic evolution of urban areas. Simulating housing price dynamics can enhance projections of future urban development outcomes.
Heng Wan   +6 more
doaj   +1 more source

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

open access: yesFEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour   +2 more
wiley   +1 more source

No Need to Run Millions of Regressions [PDF]

open access: yes
We argue that in modelling cross-country growth models one should first identify so-called outlying observations. For the data set of Sala-i-Martin, we use the least median of squares (LMS) estimator to identify outliers.
Jan-Egbert Sturm
core  

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