Results 81 to 90 of about 4,929,720 (302)

Regression conformal prediction with random forests [PDF]

open access: yesMachine Learning, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ulf Johansson   +3 more
openaire   +3 more sources

Flow Enabled Target Capture Halbach‐based magnetic enrichment increases circulating tumor cell capture from blood in metastatic cancer patients

open access: yesMolecular Oncology, EarlyView.
Pair‐wise comparison of the CellSearch and FETCH enrichment technologies for circulating tumor cells (CTCs) from metastatic breast, prostate, and small cell lung cancer patients shows an increased capture of CTCs using FETCH enrichment. The clinical implementation of circulating tumor cells (CTCs) as a predictive tool for therapy efficacy in the ...
Michiel Stevens   +6 more
wiley   +1 more source

Genetic evaluation of daily gains of dual-purpose bulls using a random regression model

open access: yesCzech Journal of Animal Science, 2008
Daily gains of 8 243 dual-purpose bulls from 100 to 400 days of age during the years 1971 to 2007 were analyzed by random regression models. Orthogonal Legendre polynomials (LP) of degree 4 were applied to daily gains calculated at 30-day intervals over ...
H. Krejčová   +4 more
doaj   +1 more source

Bagging ensemble selection for regression [PDF]

open access: yes, 2012
Bagging ensemble selection (BES) is a relatively new ensemble learning strategy. The strategy can be seen as an ensemble of the ensemble selection from libraries of models (ES) strategy. Previous experimental results on binary classification problems have
Quan Sun   +3 more
core   +1 more source

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

open access: yesMolecular 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

Goodness of fit tests in random coefficient regression models [PDF]

open access: yes, 1994
Random coefficient regressions have been applied in a wide range of fields, from biology to economics, and constitute a common frame for several important statistical models.
Delicado, Pedro, Romo, Juan
core   +1 more source

B-spline polynomials models for analyzing growth patterns of Guzerat young bulls in field performance tests [PDF]

open access: yesAnimal Bioscience
Objective The aim of this study was to identify suitable polynomial regression for modeling the average growth trajectory and to estimate the relative development of the rib eye area, scrotal circumference, and morphometric measurements of Guzerat young ...
Ricardo Costa Sousa   +5 more
doaj   +1 more source

Random-effects regression analysis showing the change in mental health scores associated with the implementation of COVID-19 lockdown measures.

open access: yes, 2021
Random-effects regression analysis showing the change in mental health scores associated with the implementation of COVID-19 lockdown measures.
Egidio Riva (11714583)   +5 more
core   +1 more source

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

Development of an index that decreases birth weight, promotes postnatal growth and yet minimizes selection intensity in beef cattle [PDF]

open access: yesAnimal Bioscience
Objective The main goal of our current study was to improve the growth curve of meat animals by decreasing the birth weight while achieving a finishing weight that is the same as that before selection but at younger age.
Kenji Togashi   +6 more
doaj   +1 more source

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