Univariate, bivariate and multivariate statistics using R: Quantitative tools for data analysis and data scienceDaniel J.Denis2020, Hobokon, NJ, Wiley, ISBN 9781119549932, pp. xvii + 366

2021 ◽  
Author(s):  
Shalabh
Keyword(s):  
Data Analysis ◽  
Multivariate Statistics

scholarly journals With Guide of Spike-in Experiment for Optimizing Workflow of LC-MS data Processing in Metabolomics

2017 ◽  
Vol 12 (8) ◽  
pp. 1934578X1701200
Author(s):  
Bing-Peng Yan ◽  
Chun-Mei Cao ◽  
Jin-Jun Hou ◽  
Qi-Rui Bi ◽  
Min Yang ◽  
...  
Keyword(s):  
Data Analysis ◽  
Data Processing ◽  
Multivariate Statistics ◽  
Design Of Experiment ◽  
Data Preprocessing ◽  
Accuracy Evaluation ◽  
Metabolomics Data ◽  
Scaling Methods ◽  
Positive Rate

A systematical study was performed to investigate the processing workflow of LC-MS-based metabolomics data by optimizing parameter settings in XCMS software and comparing different preprocessing methods. Here we use a spike-in experiment combining with design of experiment (DoE) approaches for optimizing XCMS software parameters. A trusted index, which was based on accuracy evaluation of the spike-in data, was employed to assess the optimizing process. After optimizing the XCMS setting, the trusted index was improved from 3.67 to 30 and positive rate of spike-in standards also increased from 20% to 100%. Moreover, different data preprocessing methods, such as normalization, different scaling methods were also investigated on spike-in data since they were found to affect the outcome of the data analysis and ions features identification. Accordingly, UN-normalization and Pareto scaling were chosen as appropriate preprocessing methods to deal with LC-MS data through the evaluation of match index (mainly applied multivariate statistics methods). Finally, the optimized workflow was applied to experimental samples that acquired from metabolomics experiment and analyzed randomly with spike-in sample, which indicated a better applicability in formal metabolomics experiment. It is concluded that the proposed data processing workflow could be used as feasible approach for improving the quality of LC-MS-based metabolomics data and ensured the veracity of metabolites identification in data processing procedures to a certain extent.

scholarly journals Similarity assessment by multivariate statistics method based on the distance between biosimilar and originator

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Jian Xu ◽  
Zhihui Shao ◽  
Xiaoxiong Han ◽  
Yingfeng Huang ◽  
Xun Zou ◽  
...  
Keyword(s):  
Cell Culture ◽  
Data Analysis ◽  
Multivariate Statistics ◽  
Multivariate Data Analysis ◽  
Experimental Methods ◽  
Analysis Method ◽  
Glycosylation Pattern ◽  
Pattern Similarity ◽  
Basal Media ◽  
Specific Distance

AbstractThe development of biosimilar products or follow-on biologics has been flourishing in recent years because of their lower price than the originators. In this study, a multivariate data analysis method based on JMP software was proposed to assess the glycosylation pattern similarity of antibody candidates from different conditions in optimization experiments with a reference. A specific distance was generated by this method and indicated the glycoform similarity between the biosimilar and the reference. This method can be applied to analyze the similarity of other physicochemical and functional characteristics between follow-on biologics and originators. Then, the design of experimental methods can be realized to optimize the conditions of cell culture to attain similar antibody candidates. A higher concentration of GlcNAc added to the basal media made the glycan of the antibody more similar to the glycan of the reference in this study.

Microchemical imaging in biomedical research

1992 ◽  
Vol 50 (2) ◽  
pp. 1118-1119
Author(s):  
P. Ingram
Keyword(s):  
Data Analysis ◽  
Electron Probe ◽  
The Other ◽  
X Ray ◽  
Cell Element ◽  
Physiological Information ◽  
Functional States ◽  
Elemental Maps ◽  
Electron Energy Loss ◽  
Secondary Ion

It is well established that unique physiological information can be obtained by rapidly freezing cells in various functional states and analyzing the cell element content and distribution by electron probe x-ray microanalysis. (The other techniques of microanalysis that are amenable to imaging, such as electron energy loss spectroscopy, secondary ion mass spectroscopy, particle induced x-ray emission etc., are not addressed in this tutorial.) However, the usual processes of data acquisition are labor intensive and lengthy, requiring that x-ray counts be collected from individually selected regions of each cell in question and that data analysis be performed subsequent to data collection. A judicious combination of quantitative elemental maps and static raster probes adds not only an additional overall perception of what is occurring during a particular biological manipulation or event, but substantially increases data productivity. Recent advances in microcomputer instrumentation and software have made readily feasible the acquisition and processing of digital quantitative x-ray maps of one to several cells.

Perceptions of a Collaborative Professional Learning Program: Seeing the “Bigger Picture”

2020 ◽  
Vol 5 (1) ◽  
pp. 290-303
Author(s):  
P. Charlie Buckley ◽  
Kimberly A. Murza ◽  
Tami Cassel
Keyword(s):  
Data Analysis ◽  
Professional Learning ◽  
Social Communication ◽  
Special Educators ◽  
Service Providers ◽  
Integrative Approach ◽  
Theory Approach ◽  
Learning Program ◽  
Speech Language Pathologists ◽  
Related Service

Purpose The purpose of this study was to explore the perceptions of special education practitioners (i.e., speech-language pathologists, special educators, para-educators, and other related service providers) on their role as communication partners after participation in the Social Communication and Engagement Triad (Buckley et al., 2015 ) yearlong professional learning program. Method A qualitative approach using interviews and purposeful sampling was used. A total of 22 participants who completed participation in either Year 1 or Year 2 of the program were interviewed. Participants were speech-language pathologists, special educators, para-educators, and other related service providers. Using a grounded theory approach (Glaser & Strauss, 1967 ) to data analysis, open, axial, and selective coding procedures were followed. Results Three themes emerged from the data analysis and included engagement as the goal, role as a communication partner, and importance of collaboration. Conclusions Findings supported the notion that educators see the value of an integrative approach to service delivery, supporting students' social communication and engagement across the school day but also recognizing the challenges they face in making this a reality.

Communicative Performance of Adolescents with Severe Speech Impairment

1989 ◽  
Vol 54 (3) ◽  
pp. 403-421 ◽  
Author(s):  
Beth M. Dalton ◽  
Jan L. Bedrosian
Keyword(s):  
Data Analysis ◽  
Peer Interactions ◽  
Consistent Pattern ◽  
Clinical Implications ◽  
Speech Impairment ◽  
Communication Mode ◽  
Mode Function ◽  
Communicative Performance ◽  
Therapy Room ◽  
Communication Board

The communicative performance of 4 preoperational-level adolescents, using limited speech, gestures, and communication board techniques, was examined in a two-part investigation. In Part 1, each subject participated in an academic interaction with a teacher in a therapy room. Data were transcribed and coded for communication mode, function, and role. Two subjects were found to predominantly use the speech mode, while the remaining 2 predominantly used board and one other mode. The majority of productions consisted of responses to requests, and the initiator role was infrequently occupied. These findings were similar to those reported in previous investigations conducted in classroom settings. In Part 2, another examination of the communicative performance of these subjects was conducted in spontaneous interactions involving speaking and nonspeaking peers in a therapy room. Using the same data analysis procedures, gesture and speech modes predominated for 3 of the subjects in the nonspeaking peer interactions. The remaining subject exhibited minimal interaction. No consistent pattern of mode usage was exhibited across the speaking peer interactions. In the nonspeaking peer interactions, requests predominated. In contrast, a variety of communication functions was exhibited in the speaking peer interactions. Both the initiator and the maintainer roles were occupied in the majority of interactions. Pertinent variables and clinical implications are discussed.

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