Component retention in principal component analysis with application to cDNA microarray data.
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Unifying Amplitude and Phase Analysis: A Compositional Data Approach to Functional Multivariate Mixed-Effects Modeling of Mandarin Chinese.Fluorescence-based assay as a new screening tool for toxic chemicalsAn algorithm for separation of mixed sparse and Gaussian sources.Effective use of latent semantic indexing and computational linguistics in biological and biomedical applications.Identification of disease-related spatial covariance patterns using neuroimaging dataSocial Vulnerability and Ebola Virus Disease in Rural Liberia.Global considerations in hierarchical clustering reveal meaningful patterns in data.Detection of treatment-induced changes in signaling pathways in gastrointestinal stromal tumors using transcriptomic data.Matrix factorisation methods applied in microarray data analysisA review of statistical methods for preprocessing oligonucleotide microarrays.Independent Principal Component Analysis for biologically meaningful dimension reduction of large biological data setsVisualisation of the T cell differentiation programme by Canonical Correspondence Analysis of transcriptomes.Automated multigroup outlier identification in molecular high-throughput data using bagplots and gemplotsObservational studies and a statistical early warning of surface ozone pollution in Tangshan, the largest heavy industry city of North China.Disentangling neural cell diversity using single-cell transcriptomics.Extraction of process zones and low-dimensional attractive subspaces in stochastic fracture mechanicsModular diversification of the locomotor system in damselfishes (Pomacentridae).Determining the optimal number of independent components for reproducible transcriptomic data analysis.Exploring the shallow end; estimating information content in transcriptomics studies.Application of principal component analysis to determine the key structural features contributing to iron superoxide dismutase thermostability.Blessing of dimensionality: mathematical foundations of the statistical physics of data.Divergent Secondary Metabolites and Habitat Filtering Both Contribute to Tree Species Coexistence in the Peruvian Amazon.Multivariate genome-wide association analysis identifies novel and relevant variants associated with anterior cruciate ligament rupture risk in the dog model.Pseudo-outcrop Visualization of Borehole Images and Core ScansA local scale-sensitive indicator of spatial autocorrelation for assessing high- and low-value clusters in multiscale datasetsAnalysis of Human Brain Structure Reveals that the Brain "Types" Typical of Males Are Also Typical of Females, and Vice VersaA phylogenetic taxonomy of the group (Reptilia: Squamata: Gekkonidae) with descriptions of two new species from Myanmar
P2860
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P2860
Component retention in principal component analysis with application to cDNA microarray data.
description
2007 nî lūn-bûn
@nan
2007 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
name
Component retention in princip ...... ation to cDNA microarray data.
@ast
Component retention in princip ...... ation to cDNA microarray data.
@en
type
label
Component retention in princip ...... ation to cDNA microarray data.
@ast
Component retention in princip ...... ation to cDNA microarray data.
@en
prefLabel
Component retention in princip ...... ation to cDNA microarray data.
@ast
Component retention in princip ...... ation to cDNA microarray data.
@en
P2860
P356
P1433
P1476
Component retention in princip ...... ation to cDNA microarray data.
@en
P2093
Richard Cangelosi
P2860
P2888
P356
10.1186/1745-6150-2-2
P577
2007-01-17T00:00:00Z
P5875
P6179
1021421222