Results 51 to 60 of about 3,251,267 (306)
Linear Regression from Strategic Data Sources
, 2019 Linear regression is a fundamental building block of statistical data analysis. It amounts to estimating the parameters of a linear model that maps input features to corresponding outputs.
Gast, Nicolas +3 more
core +2 more sources
Molecular Oncology, EarlyView.There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes +20 more
wiley +1 more source
Kernel Density Estimated Linear Regression
Proceedings of the International Florida Artificial Intelligence Research Society ConferenceRegression analysis is a cornerstone of predictive modeling, with linear regression and kernel regression standing as two of its most prominent paradigms.
Roshan Kalpavruksha +3 more
doaj +1 more source
Neutrosophic Correlation and Simple Linear Regression [PDF]
Neutrosophic Sets and Systems, 2014 Since the world is full of indeterminacy, the neutrosophics found their place into contemporary research. The fundamental concepts of neutrosophic set, introduced by Smarandache.
A. A. Salama +2 more
doaj
Química Nova, 1997 The least square method is analyzed. The basic aspects of the method are discussed. Emphasis is given in procedures that allow a simple memorization of the basic equations associated with the linear and non linear least square method, polinomial ...
Rogério Custodio +2 more
doaj +1 more source
Stochastic Development Regression on Non-Linear Manifolds
, 2017 We introduce a regression model for data on non-linear manifolds. The model describes the relation between a set of manifold valued observations, such as shapes of anatomical objects, and Euclidean explanatory variables.
EP Hsu +15 more
core +1 more source
Molecular Oncology, EarlyView.This study used longitudinal transcriptomics and gene‐pattern classification to uncover patient‐specific mechanisms of chemotherapy resistance in breast cancer. Findings reveal preexisting drug‐tolerant states in primary tumors and diverse gene rewiring patterns across patients, converging on a few dysregulated functional modules. Despite receiving the
Maya Dadiani +14 more
wiley +1 more source
Molecular Oncology, EarlyView.Comprehensive analysis of genomic mutations, gene expression, DNA methylation, and pathway analysis of TCGA data was carried out to define cancer types in which proteasome subunits expression is associated with worse survival. Albeit the effect of specific proteasome subunits on cellular function, the main role of the proteasome is better evaluated ...
Ruba Al‐Abdulla +5 more
wiley +1 more source
LINEAR REGRESSION WITH R AND HADOOP [PDF]
Challenges of the Knowledge Society, 2015 In this paper we present a way to solve the linear regression model with R and Hadoop using the Rhadoop library. We show how the linear regression model can be solved even for very large models that require special technologies.
Bogdan OANCEA
doaj
Robust Linear Regression Analysis - A Greedy Approach
, 2015 The task of robust linear estimation in the presence of outliers is of particular importance in signal processing, statistics and machine learning. Although the problem has been stated a few decades ago and solved using classical (considered nowadays ...
Bouboulis, Pantelis +3 more
core +1 more source