Results 61 to 70 of about 2,047,036 (332)
Molecules, 2020 The last two decades have witnessed an increasing interest in the use of the so-called rapid analytical methods or high throughput techniques. Most of these applications reported the use of vibrational spectroscopy methods (near infrared (NIR), mid ...
Daniel Cozzolino
doaj +1 more source
On Weighted Multivariate Sign Functions
, 2020 Multivariate sign functions are often used for robust estimation and inference. We propose using data dependent weights in association with such functions.
Chatterjee, Snigdhansu +1 more
core
Multivariate dynamic kernels for financial time series forecasting [PDF]
, 2016 The final publication is available at http://link.springer.com/chapter/10.1007/978-3-319-44781-0_40We propose a forecasting procedure based on multivariate dynamic kernels, with the capability of integrating information measured at different frequencies ...
AJ Smola +6 more
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Next‐generation proteomics improves lung cancer risk prediction
Molecular Oncology, EarlyView.This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj +4 more
wiley +1 more source
Remote Sensing, 2023 The soil sorption coefficient (Kd) of glyphosate mainly controls its transport and fate in the environment. Laboratory-based analysis of Kd is laborious and expensive.
Sonia Akter +8 more
doaj +1 more source
FEBS Open Bio, EarlyView.KHS‐Cnd peptide is able to impair biofilm formation and disaggregate mature biofilms in Acinetobacter baumannii clinical isolates. Differences in extracellular metabolites reflect changes in biofilm metabolism due to KHS‐Cnd treatment. Among the differentially represented extracellular metabolites upon KHS‐Cnd treatment, the significantly altered ...
Fernando Porcelli +9 more
wiley +1 more source
ecp: An R Package for Nonparametric Multiple Change Point Analysis of Multivariate Data [PDF]
, 2013 There are many different ways in which change point analysis can be performed, from purely parametric methods to those that are distribution free. The ecp package is designed to perform multiple change point analysis while making as few assumptions as ...
James, Nicholas A., Matteson, David S.
core
FEBS Open Bio, EarlyView.We investigated the toxicity of 12 active compounds commonly found in herbal weight loss supplements (WLS) using human liver and colon cell models. Epigallocatechin‐3‐gallate was the only compound showing significant toxicity. Metabolic profiling revealed protein degradation, disrupted energy and lipid metabolism suggesting that the inclusion of EGCG ...
Emily C. Davies +3 more
wiley +1 more source
Multivariate analysis of microarray data: differential expression and differential connection
BMC Bioinformatics, 2011 Background Typical analysis of microarray data ignores the correlation between gene expression values. In this paper we present a model for microarray data which specifically allows for correlation between genes. As a result we combine gene network ideas
Kiiveri Harri T
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Change Point Analysis of Multivariate Data: Using Multivariate\n Rank-based Distribution-free Nonparametric Testing via Measure Transportation\n with Applications in Tumor Microarrays and Dementia [PDF]
, 2021 Amanda Ng
openalex +1 more source