Results 71 to 80 of about 7,151,646 (328)

Elite Bases Regression: A Real-time Algorithm for Symbolic Regression

open access: yes, 2017
Symbolic regression is an important but challenging research topic in data mining. It can detect the underlying mathematical models. Genetic programming (GP) is one of the most popular methods for symbolic regression. However, its convergence speed might
Chen, Chen   +2 more
core   +1 more source

Cell‐free DNA aneuploidy score as a dynamic early response marker in prostate cancer

open access: yesMolecular Oncology, EarlyView.
mFast‐SeqS‐based genome‐wide aneuploidy scores are concordant with aneuploidy scores obtained by whole genome sequencing from tumor tissue and can predict response to ARSI treatment at baseline and, at an early time point, to ARSI and taxanes. This assay can be easily performed at low cost and requires little input of cfDNA. Cell‐free circulating tumor
Khrystany T. Isebia   +17 more
wiley   +1 more source

Machine-Learning Models for Sales Time Series Forecasting

open access: yesData, 2019
In this paper, we study the usage of machine-learning models for sales predictive analytics. The main goal of this paper is to consider main approaches and case studies of using machine learning for sales forecasting.
Bohdan M. Pavlyshenko
doaj   +1 more source

Response to neoadjuvant chemotherapy in early breast cancers is associated with epithelial–mesenchymal transition and tumor‐infiltrating lymphocytes

open access: yesMolecular Oncology, EarlyView.
Epithelial–mesenchymal transition (EMT) and tumor‐infiltrating lymphocytes (TILs) are associated with early breast cancer response to neoadjuvant chemotherapy (NAC). This study evaluated EMT and TIL shifts, with immunofluorescence and RNA sequencing, at diagnosis and in residual tumors as potential biomarkers associated with treatment response.
Françoise Derouane   +16 more
wiley   +1 more source

Adverse prognosis gene expression patterns in metastatic castration‐resistant prostate cancer

open access: yesMolecular Oncology, EarlyView.
We aggregated a cohort of 1012 mCRPC tissue samples from 769 patients and investigated the association of gene expression‐based pathways with clinical outcomes. Loss of AR signaling, high proliferation, and a glycolytic phenotype were independently prognostic for poor outcomes, and an adverse transcriptional feature score incorporating these pathways ...
Marina N. Sharifi   +26 more
wiley   +1 more source

Functional additive regression

open access: yes, 2015
We suggest a new method, called Functional Additive Regression, or FAR, for efficiently performing high-dimensional functional regression. FAR extends the usual linear regression model involving a functional predictor, $X(t)$, and a scalar response, $Y$,
Fan, Yingying   +2 more
core   +1 more source

Thermal proteome profiling and proteome analysis using high‐definition mass spectrometry demonstrate modulation of cholesterol biosynthesis by next‐generation galeterone analog VNPP433‐3β in castration‐resistant prostate cancer

open access: yesMolecular Oncology, EarlyView.
Elevated level of cholesterol is positively correlated to prostate cancer development and disease severity. Cholesterol‐lowering drugs, such as statins, are demonstrated to inhibit prostate cancer. VNPP433‐3β interrupts multiple signaling and metabolic pathways, including cholesterol biosynthesis, AR‐mediated transcription of several oncogenes, mRNA 5′
Retheesh S. Thankan   +10 more
wiley   +1 more source

Bayesian Compressed Regression [PDF]

open access: yes, 2013
As an alternative to variable selection or shrinkage in high dimensional regression, we propose to randomly compress the predictors prior to analysis. This dramatically reduces storage and computational bottlenecks, performing well when the predictors ...
Dunson, David B., Guhaniyogi, Rajarshi
core  

Regularized Matrix Regression

open access: yes, 2012
Modern technologies are producing a wealth of data with complex structures. For instance, in two-dimensional digital imaging, flow cytometry, and electroencephalography, matrix type covariates frequently arise when measurements are obtained for each ...
Li, Lexin, Zhou, Hua
core   +1 more source

Elucidating prognostic significance of purine metabolism in colorectal cancer through integrating data from transcriptomic, immunohistochemical, and single‐cell RNA sequencing analysis

open access: yesMolecular Oncology, EarlyView.
Low expression of five purine metabolism‐related genes (ADSL, APRT, ADCY3, NME3, NME6) was correlated with poor survival in colorectal cancer. Immunohistochemistry analysis showed that low NME3 (early stage) and low ADSL/NME6 (late stage) levels were associated with high risk.
Sungyeon Kim   +8 more
wiley   +1 more source

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