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Advanced Search Results For "principal component analysis"

1 - 10 of 93,962 results for
 "principal component analysis"
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Theoretical analysis of principal components in an umbrella model of intraspecific evolution.

Publication Type: Academic Journal

Source(s): Theoretical population biology [Theor Popul Biol] 2022 Dec; Vol. 148, pp. 11-21. Date of Electronic Publication: 2022 Sep 16.

Abstract: Principal component analysis (PCA) is one of the most frequently-used approach to describe population structure from multilocus genotype data. Regarding geographic range expansions of modern humans, interpretations of PCA have, however, been questioned...

Serum-based surface-enhanced Raman spectroscopy combined with PCA-RCKNCN for rapid and accurate identification of lung cancer.

Publication Type: Academic Journal

Source(s): Analytica chimica acta [Anal Chim Acta] 2022 Dec 15; Vol. 1236, pp. 340574. Date of Electronic Publication: 2022 Nov 03.

Authors:

Abstract: Early and precise diagnosis of lung cancer is critical for a better prognosis. However, it is still a challenge to develop an effective strategy for early precisely diagnose and effective treatments. Here, we designed a label-free and highly accurate c...

Study on the classification and identification of various carbonate and sulfate mineral medicines based on Raman spectroscopy combined with PCA-SVM algorithm.

Publication Type: Academic Journal

Source(s): Analytical sciences : the international journal of the Japan Society for Analytical Chemistry [Anal Sci] 2023 Feb; Vol. 39 (2), pp. 241-248. Date of Electronic Publication: 2022 Dec 16.

Authors:

Abstract: The efficacy of mineral medicines varies greatly between different origins. Therefore, investigating a method to quickly identify similar mineral medicines is meaningful. In this paper, a visual classification and identification model of Raman spectros...

Correspondence analysis for dimension reduction, batch integration, and visualization of single-cell RNA-seq data.

Publication Type: Academic Journal

Source(s): Scientific reports [Sci Rep] 2023 Jan 21; Vol. 13 (1), pp. 1197. Date of Electronic Publication: 2023 Jan 21.

Authors:

Abstract: Effective dimension reduction is essential for single cell RNA-seq (scRNAseq) analysis. Principal component analysis (PCA) is widely used, but requires continuous, normally-distributed data; therefore, it is often coupled with log-transformation in scR...

Breast cancer chemotherapy treatment monitoring based on serum sample Raman spectroscopy.

Publication Type: Academic Journal

Source(s): Lasers in medical science [Lasers Med Sci] 2022 Dec; Vol. 37 (9), pp. 3649-3659. Date of Electronic Publication: 2022 Oct 14.

Abstract: In this paper, breast cancer patients were monitored throughout their chemotherapy treatments (CHT), with blood serum sample Raman spectroscopy and multivariate analysis, approximately for a year. First of all, we discriminate between healthy and clini...

Analysis of potentially toxic elements from selected mechanical workshops using the geo-accumulation index and principal component analysis in Omu-Aran Community, Nigeria.

Publication Type: Academic Journal

Source(s): Environmental monitoring and assessment [Environ Monit Assess] 2023 Jan 07; Vol. 195 (2), pp. 276. Date of Electronic Publication: 2023 Jan 07.

Abstract: Bioaccumulation of potentially toxic elements in soil threatens public health and the ecosystem. This study aims to assess the concentration of potentially toxic elements (chromium (Cr), lead (Pb), iron (Fe), arsenic (As), and cadmium (Cd)) in selected...

Directional PCA for Fast Detection and Accurate Diagnosis: A Unified Framework.

Publication Type: Academic Journal

Source(s): IEEE transactions on cybernetics [IEEE Trans Cybern] 2022 Nov; Vol. 52 (11), pp. 11362-11372. Date of Electronic Publication: 2022 Oct 17.

Authors:

Abstract: Many methods for monitoring multivariate processes are built on principal component analysis (PCA), which, however, simply tells whether the process is faulty or not. In fact, there is still room for the improvement of the early detection performance b...

Physicochemical indicators coupled with multivariate analysis for comprehensive evaluation of matcha sensory quality.

Publication Type: Academic Journal

Source(s): Food chemistry [Food Chem] 2022 Mar 01; Vol. 371, pp. 131100. Date of Electronic Publication: 2021 Sep 08.

Authors:

Abstract: The sensory quality of matcha is a pivotal factor in determining consumer acceptance. However, the human sensory panel test is difficult to popularize by virtue of professional requirements and inability to evaluate large samples. The analysis showed t...

Principal Component Analysis to Assess the Changes of Yield and Quality in Pinellia ternata at Different Stages after Brassinolide Treatments.

Publication Type: Academic Journal

Source(s): International journal of molecular sciences [Int J Mol Sci] 2022 Dec 06; Vol. 23 (23). Date of Electronic Publication: 2022 Dec 06.

Authors:

Abstract: Brassinolide (BR) is the "sixth class" plant hormone, which plays an important role in various physiological and biochemical processes of plants. The wide variety of functions of Pinellia ternata means that there is huge demand for it and thus it is in...

Source apportionment of serum PFASs in two highly exposed communities.

Publication Type: Academic Journal

Source(s): The Science of the total environment [Sci Total Environ] 2023 Jan 10; Vol. 855, pp. 158842. Date of Electronic Publication: 2022 Sep 17.

Abstract: Per- and polyfluoroalkyl substances (PFASs) are synthetic chemicals that are ubiquitous in environmental and biological systems, including human serum. PFASs are used in many products and industrial processes and are tied to numerous health effects. Du...

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