Computational Study Protocol: Leveraging Synthetic Data to Validate a Benchmark Study for Differential Abundance Tests for 16S Microbiome Sequencing Data [version 2; peer review: 2... by Clemens Kreutz, Eva Kohnert

“…Equivalence tests will be conducted on a non-redundant subset of 46 data characteristics comparing synthetic and experimental data, complemented by principal component analysis for overall similarity assessment. …”
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Short-Term Changes in Fertility Attributes and Soil Organic Matter Caused by the Addition of EM Bokashis in Two Tropical Soils by Carlos Eduardo Pacheco Lima, Mariana Rodrigues Fontenelle, Luciana Rodrigues Borba Silva, Daiane Costa Soares, Antônio Williams Moita, Daniel Basílio Zandonadi, Ronessa Bartolomeu Souza, Carlos Alberto Lopes

“…Finally, the Principal Component Analysis was conducted in order to identify possible patterns related to soils when fertilized with EM Bokashi. …”
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Study on the Fingerprint Spectrum and the Spectrum-Effect Relationship of Analgesic and Anti-Inflammatory Effects of the Aqueous Extract from Dalbergia hancai Benth by Qin Qiu, Xiaofang Liu, Chunying Huang, Yanling Guo, Dandan Zhen, Junhao Shi, Baojun Gu, Hanshen Zhen, Miao Zhang

“…At the same time, similarity evaluation, cluster analysis, and principal component analysis (PCA) had also been conducted to evaluate the common peaks. …”
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Agro-Morphological Characterization of Kenyan Slender Leaf (Crotalaria brevidens and C. ochroleuca) Accessions by Fridah A. Mwakha, Bernard M. Gichimu, Johnstone O. Neondo, Peter K. Kamau, Eddy O. Odari, Joshua K. Muli, Nancy L. M. Budambula

“…Both qualitative and quantitative data were subjected to multivariate cluster analysis, and a dendrogram was constructed using the unweighted pair-group method with arithmetic average. The principal component analysis was conducted to obtain information on the importance of the characters. …”
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Determination of Flavanones in Orange Juices Obtained from Different Sources by HPLC/DAD by Lidércia C. R. Cerqueira e Silva, Jorge M. David, Rafael dos S. Q. Borges, Sérgio L. C. Ferreira, Juceni P. David, Pedro S. dos Reis, Roy E. Bruns

“…The results were also evaluated using the principal component analysis (PCA) multivariate analysis technique which showed that poncirin, naringenin, and naringin were the principal elements that contributed to the variability in the sample concentrations.…”
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Physicochemical characteristics and trophic state evaluation of post glacial mountain lake using multivariate analysis by S. Nayek, S. Gupta, K.K. Pobi

“…Application of multivariate tools such as cluster analysis and principal component analysis reveals that ionic constituents of lake water are majorly associated to the geogenic and exogenic factors, with minor seasonal influences. …”
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Perceived costs and benefits of companion dog keeping based on a convenience sample of dog owners by Laura Gillet, Borbála Turcsán, Eniko Kubinyi

“…In the quantitative data, principal component analysis revealed three core components of the dog ownership experience: (1) emotional, physical, and social benefits, (2) negative emotions and practical challenges, and (3) time and emotional commitment. …”
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Estimation of Individual Tree Structure and Wood Density Parameters for <i>Ginkgo biloba</i> Using Terrestrial LiDAR and Resistance Drill Data by Ting Li, Xin Shen, Kai Zhou, Lin Cao

“…A wood density prediction model was constructed using principal component analysis based on the resistance, diameter, tree height, and crown width. …”
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A Rapid and Nondestructive Quality Detection Approach for Yongchuan Xiuya Tea Based on NIRS and siPLS-ANN Method by Ying Zhang, Jie Wang, Xiuhong Wu, Rui Chang, Hongyu Luo, Juan Yang, Quan Wu, Ze Xu, Yingfu Zhong

“…Through preprocessing the spectral data and employing the synergy interval partial least squares (siPLS) method to identify characteristic spectral regions, principal component analysis (PCA) is applied, followed by the development of a Jordan–Elman artificial neural network prediction model (ANN) for tea quality assessment. …”
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Comprehensive Metabolomic Profiling in Adults with X-Linked Hypophosphatemia: A Case-Control Study by Luis Carlos López-Romero, José Jesús Broseta, Marta Roca-Marugán, Noemí Máñez Ramírez, Julio Hernández-Jaras

“…We employed multivariate statistical models, including a principal component analysis (PCA) and an orthogonal partial least squares discriminant analysis (OPLS-DA) regression model. …”
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Metropolitan construction carbon emission efficiency: an integrative static-dynamic analytical framework by Jianing Hu, Wanxiang Yao, Gangwei Cai, Qinfeng Zhao, Chanjuan Wang, Tongyu Xu, Chunyan Shi, Weijun Gao

“…The Malmquist-Luenberger index model, multiple non-linear regression model, and principal component analysis were used to research the driving factors dynamically. …”
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Comparative Investigation of Untargeted and Targeted Metabolomics in Turmeric Dietary Supplements and Rhizomes by Jashbir Singh, Fakir Shahidullah Tareq, Devanand L. Luthria

“…Initial screening with infrared and ultraviolet–visible spectroscopy coupled with a principal component analysis (PCA) revealed distinct differences between the samples analyzed. …”
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Determinants of the Sensory Quality of Półgęsek in Relation to Volatile Compounds and Chemical Composition by Nowicka Katarzyna, Jaworska Danuta, Przybylski Wiesław, Górska Ewa, Tambor Krzysztof, Półtorak Andrzej

“…Results of the Principal Component Analysis (PCA) showed, however, that specific groups of products have their own unique sensory profile. …”
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Quality Evaluation of Bioactive Ingredients in Lianhua Qingwen Capsule Based on Quantitative Analysis of Multicomponent by the Single Marker Method and the Chemical Recognition Pat... by Qianqian Zhou, Lin Yang, Yiwu Wang, Jiajia Zou, Shuya Li, Lei Dai, Yan Li, Dan He

“…Radar plot analysis and principal component analysis (PCA) found some quality differences existed between the three groups of samples. …”
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Study of Interactions Between Individual Phenolics of Aronia with Barley Beta-Glucan by Lidija Jakobek, Petra Matić, Jozo Ištuk, Andrew R. Barron

“…The suggested bonds involved in interactions are non-covalent bonds (H bonds, Van der Waals forces). Principal component analysis showed that anthocyanins, flavonols, and phenolic acids could differently behave in the adsorption process, which could be due to differences in the chemical structures (ionic nature of anthocyanins, nonionic nature of flavonols and phenolic acids at low pH). …”
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Structuring ampelographic collections by phenotypic characteristics and comparing the reaction of grape varieties to climate change by L. Yu. Novikova, L. G. Naumova

“…Homogeneous groups  of characteristics and varieties are identified by principal component analysis (PCA) and analysis of variance (ANOVA) methods. …”
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Motivasi belajar sejarah kebudayaan islam (MBSKI) scale: mengukur sifat psikometri dengan rasch measurement tool (RMT) by Yasnel Yasnel, Sariah Sariah, Susiba Susiba, Syafi'ah Syafi'ah, M. Fahli Zatrahadi, Darmawati Darmawati, Istiqomah Istiqomah

“…Dalam penelitian ini Model Rasch digunakan untuk mengukur sifat psikometri, peneliti menggunakan program komputer WINSTEP4.7.0 untuk melakukan model pengukuran rasch, analisis yang dilakukan adalah mengukur objective measurement, reliability and separation index, threshold: partial credit model, estimation validity through principal component analysis, person measure, dan item measure. …”
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Determining the Heterotic Groups of Selected Grain Maize (Zea mays L.) Inbred Lines using Morphological and Phenological Traits by Mahnaz Oroojloo, Sara Dezhsetan, Behzad Ahmadi, Mohammadreza Shiri, Ali Moghaddam

“…Based on the results of the principal component analysis, the first component explained 25.67% of the total variation. …”
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Antidepressant Treatment Response Prediction With Early Assessment of Functional Near-Infrared Spectroscopy and Micro-RNA by Lok Hua Lee, Cyrus Su Hui Ho, Yee Ling Chan, Gabrielle Wann Nii Tay, Cheng-Kai Lu, Tong Boon Tang

“…Our proposed algorithm includes a custom inter-subject variability reduction based on the principal component analysis (PCA). The principal components of extracted features are first identified for non-responders&#x2019; group. …”
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High-coverage whole-genome sequencing of a Jakun individual from the “Orang Asli” Proto-Malay subtribe from Peninsular Malaysia by Wai-Sum Yap, Alvin Cengnata, Woei-Yuh Saw, Thuhairah Abdul Rahman, Yik-Ying Teo, Renee Lay-Hong Lim, Boon-Peng Hoh

“…Of these, 39,916 SNVs were novel (referencing dbSNP151), and 10,167 were nonsynonymous (nsSNVs), spanning 5674 genes. Principal Component Analysis (PCA) revealed that the Jakun genome sequence closely clustered with the genomes of the Cambodians (CAM) and the Metropolitan Malays from Singapore (SG_MAS). …”
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