Results 81 to 90 of about 7,151,646 (328)

Regression is good [PDF]

open access: yesBritish Journal of General Practice, 2016
So, the headlines suggest the NHS has a whole new plan for primary care.1 Backed up with funding too. The outcome, apparently, will be that our share of the NHS budget will increase steadily over the next 5 years. Really? Perhaps I am just too sceptical to feel warmed by this promise of generosity.
openaire   +3 more sources

Gridded Population Maps Informed by Different Built Settlement Products

open access: yesData, 2018
The spatial distribution of humans on the earth is critical knowledge that informs many disciplines and is available in a spatially explicit manner through gridded population techniques.
Fennis J. Reed   +5 more
doaj   +1 more source

Exploration of heterogeneity and recurrence signatures in hepatocellular carcinoma

open access: yesMolecular Oncology, EarlyView.
This study leveraged public datasets and integrative bioinformatic analysis to dissect malignant cell heterogeneity between relapsed and primary HCC, focusing on intercellular communication, differentiation status, metabolic activity, and transcriptomic profiles.
Wen‐Jing Wu   +15 more
wiley   +1 more source

Predictive Regressions

open access: yes, 2019
Predictive regressions are a widely used econometric environment for assessing the predictability of economic and financial variables using past values of one or more predictors. The nature of the applications considered by practitioners often involve the use of predictors that have highly persistent, smoothly varying dynamics as opposed to the much ...
Pitarakis, Jean-Yves, Gonzalo, Jesús
openaire   +3 more sources

Online Nonparametric Regression [PDF]

open access: yes, 2014
We establish optimal rates for online regression for arbitrary classes of regression functions in terms of the sequential entropy introduced in (Rakhlin, Sridharan, Tewari, 2010). The optimal rates are shown to exhibit a phase transition analogous to the
Rakhlin, Alexander, Sridharan, Karthik
core   +2 more sources

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

open access: yesMolecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Common factors method to predict the carcass composition tissue in kid goats

open access: yesRevista Brasileira de Zootecnia, 2013
The objective of this work was to analyze the interrelations among weights and carcass measures of the longissimus lumborum muscle thickness and area, and of sternum tissue thickness, measured directly on carcass and by ultrasound scan.
Helen Fernanda Barros Gomes   +7 more
doaj  

Fitting Ranked Linguistic Data with Two-Parameter Functions

open access: yesEntropy, 2010
It is well known that many ranked linguistic data can fit well with one-parameter models such as Zipf’s law for ranked word frequencies. However, in cases where discrepancies from the one-parameter model occur (these will come at the two extremes of the ...
Wentian Li   +2 more
doaj   +1 more source

The atypical KRASQ22K mutation directs TGF‐β response towards partial epithelial‐to‐mesenchymal transition in patient‐derived colorectal cancer tumoroids

open access: yesMolecular Oncology, EarlyView.
TGF‐β has a complex role in cancer, exhibiting both tumor‐suppressive and tumor‐promoting properties. Using a series of differentiated tumoroids, derived from different stages and mutational background of colorectal cancer patients, we replicate this duality of TGF‐β in vitro. Notably, the atypical but highly aggressive KRASQ22K mutation rendered early‐
Theresia Mair   +17 more
wiley   +1 more source

Nonlinear Bayesian Algorithms for Gas Plume Detection and Estimation from Hyper-spectral Thermal Image Data

open access: yesSensors, 2007
This paper presents a nonlinear Bayesian regression algorithm for detecting and estimating gas plume content from hyper-spectral data. Remote sensing data, by its very nature, is collected under less controlled conditions than laboratory data.
Kevin Anderson   +3 more
doaj   +1 more source

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