Results 141 to 150 of about 4,208,641 (395)

Sparse Principal Components Analysis

open access: yes, 2009
This manuscript was written in late 2003; a much revised version is to appear, with discussion and later references, in the Journal of the American Statistical Association in 2009.
Lu, Arthur, Johnstone, Iain
openaire   +2 more sources

GWAS with principal component analysis identifies a gene comprehensively controlling rice architecture

open access: yesProceedings of the National Academy of Sciences of the United States of America, 2019
Significance Rice architecture is an important agronomic trait for determining yield; however, the complexity of this trait makes it difficult to elucidate the molecular mechanisms.
Kenji Yano   +16 more
semanticscholar   +1 more source

Surfaceome: a new era in the discovery of immune evasion mechanisms of circulating tumor cells

open access: yesMolecular Oncology, EarlyView.
In the era of immunotherapies, many patients either do not respond or eventually develop resistance. We propose to pave the way for proteomic analysis of surface‐expressed proteins called surfaceome, of circulating tumor cells. This approach seeks to identify immune evasion mechanisms and discover potential therapeutic targets. Circulating tumor cells (
Doryan Masmoudi   +3 more
wiley   +1 more source

Federated Principal Component Analysis

open access: yes, 2019
We present a federated, asynchronous, and $(\varepsilon, )$-differentially private algorithm for PCA in the memory-limited setting. Our algorithm incrementally computes local model updates using a streaming procedure and adaptively estimates its $r$ leading principal components when only $\mathcal{O}(dr)$ memory is available with $d$ being the ...
Grammenos, Andreas   +3 more
openaire   +2 more sources

Automatic Classification of Staphylococci by Principal-Component Analysis and a Gradient Method [PDF]

open access: bronze, 1965
L. R. Hill   +4 more
openalex   +1 more source

Circulating tumor cells in metastatic breast cancer patients treated with immune checkpoint inhibitors – a biomarker analysis of the ALICE and ICON trials

open access: yesMolecular Oncology, EarlyView.
In this explorative biomarker analysis, we assessed serial sampling of circulating tumor cells (CTCs) with CellSearch in two randomized trials testing immune checkpoint inhibitors (ICIs) in metastatic breast cancer. Our data demonstrate a prognostic potential of CTCs, most apparent 4 weeks into ICI therapy.
Nikolai Kragøe Andresen   +13 more
wiley   +1 more source

Constraints on the dark energy using multiple observations : snare of principal component analysis [PDF]

open access: yesarXiv, 2011
We explore snares in determining the equation of state of dark energy ($\omega$) when one uses the so-called principal component analysis for multiple observations. We demonstrated drawbacks of principal component analysis in an earlier paper. We used the Hubble parameter data generated from a fiducial model using the so-called Chevallier-Polarski ...
arxiv  

A comparative study of circulating tumor cell isolation and enumeration technologies in lung cancer

open access: yesMolecular Oncology, EarlyView.
Lung cancer cells were spiked into donor blood to evaluate the recovery rates of the following circulating tumor cell (CTC) enrichment technologies: CellMag™, EasySep™, RosetteSep™, Parsortix® PR1, and Parsortix® Prototype systems. Each method's advantages and disadvantages are described.
Volga M Saini   +11 more
wiley   +1 more source

Cell‐free and extracellular vesicle microRNAs with clinical utility for solid tumors

open access: yesMolecular Oncology, EarlyView.
Cell‐free microRNAs (cfmiRs) are small‐RNA circulating molecules detectable in almost all body biofluids. Innovative technologies have improved the application of cfmiRs to oncology, with a focus on clinical needs for different solid tumors, but with emphasis on diagnosis, prognosis, cancer recurrence, as well as treatment monitoring.
Yoshinori Hayashi   +6 more
wiley   +1 more source

Fast principal component analysis of large-scale genome-wide data.

open access: yesPLoS ONE, 2014
Principal component analysis (PCA) is routinely used to analyze genome-wide single-nucleotide polymorphism (SNP) data, for detecting population structure and potential outliers.
Gad Abraham, Michael Inouye
doaj   +1 more source

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