Results 141 to 150 of about 689,927 (311)
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
Molecular Oncology, EarlyView.This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
Principal Components and Factor Analysis. A Comparative Study.
A comparison between Principal Component Analysis (PCA) and Factor Analysis (FA) is performed both theoretically and empirically for a random matrix X:(n x p) , where n is the number of observations and both coordinates may be very large.
Travaglini, Guido
core
A least squares approach to Principal Component Analysis for interval valued data [PDF]
Principal Component Analysis (PCA) is a well known technique the aim of which is to synthesize huge amounts of numerical data by means of a low number of unobserved variables, called components.
D'Urso, Pierpaolo, Giordani, Paolo
core
THE ROLE OF CORPORATE ENTREPRENEURSHIP IN COMPETITIVENESS. DATA ANALYSIS OF QUANTITATIVE. PART 2
Contemporary Economy, 2016 The article presents conclusions regarding application of Principal Component Analysis to data about to measure the entrepreneurial potential of the company.
Aneta Oniszczuk-Jastrząbek
doaj
Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
On the Use of the First Principal Component as a Core Inflation Indicator [PDF]
This paper investigates if the (OLS-scaled) first principal component (PC1), extracted from standardized yearly rates of change of basic items of the CPI, represents a reasonable option for a core inflation indicator. The evaluation is carried out by (i)
José R. Maria
core
Principal component analysis of functional principal components.
, 2018 Principal component analysis of functional principal components.
Seungmi Yang (611033) +6 more
core +1 more source
COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells
Molecular Oncology, EarlyView.This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos +6 more
wiley +1 more source
Pattern Classification Using Secondary Components Perceptron and Economic Applications [PDF]
In this paper we will classify patterns using a modified Perceptron algorithm (Dumitrache et al., 1999). The generalization uses the eigenvalues and the eigenvectors of the sample covariance matrix, as we did for classifying patterns using PCR (Ciuiu ...
Ciuiu, Daniel
core
Components Generated by the Principal Components Analysis.
, 2016 Components Generated by the Principal Components Analysis.
Elizabeth DiNenno (775799) +14 more
core +1 more source