Literature DB >> 21917717

Introduction to statistical methods to analyze large data sets: principal components analysis.

Neil R Clark1, Avi Ma'ayan.   

Abstract

This Teaching Resource provides lecture notes, slides, and a problem set for a series of lectures from a course entitled "Systems Biology: Biomedical Modeling." The materials are a lecture introducing the mathematical concepts behind principal components analysis (PCA). The lecture describes how to handle large data sets with correlation methods and unsupervised clustering with this popular method of analysis, PCA.

Entities:  

Mesh：

Year:  2011        PMID： 21917717      PMCID： PMC3193798          DOI： 10.1126/scisignal.2001967

Source DB:  PubMed          Journal:  Sci Signal        ISSN： 1945-0877            Impact factor:   8.192


  1 in total

1.  Mesenchymal and haematopoietic stem cells form a unique bone marrow niche.

Authors:  Simón Méndez-Ferrer; Tatyana V Michurina; Francesca Ferraro; Amin R Mazloom; Ben D Macarthur; Sergio A Lira; David T Scadden; Avi Ma'ayan; Grigori N Enikolopov; Paul S Frenette
Journal:  Nature       Date:  2010-08-12       Impact factor: 49.962
  1 in total
  16 in total

Review 1.  Advancing systems immunology through data-driven statistical analysis.

Authors:  Linda E Fong; Andrés R Muñoz-Rojas; Kathryn Miller-Jensen
Journal:  Curr Opin Biotechnol       Date:  2018-04-12       Impact factor: 9.740

2.  Radar chart array analysis to visualize effects of formulation variables on IgG1 particle formation as measured by multiple analytical techniques.

Authors:  Cavan Kalonia; Ozan S Kumru; Jae Hyun Kim; C Russell Middaugh; David B Volkin
Journal:  J Pharm Sci       Date:  2013-10-09       Impact factor: 3.534

3.  Publisher’s Note:Abstraction for data integration:Fusing mammalian molecular, cellular and phenotype big datasets for better knowledge extraction.

Authors:  Andrew D Rouillard; Zichen Wang; Avi Ma'ayan
Journal:  Comput Biol Chem       Date:  2015-10       Impact factor: 2.877

4.  Using partial least squares regression to analyze cellular response data.

Authors:  Pamela K Kreeger
Journal:  Sci Signal       Date:  2013-04-16       Impact factor: 8.192

5.  Profiling of acidic (amino and phenolic acids) and phenylpropanoids production in response to methyl jasmonate-induced oxidative stress in Scrophularia striata suspension cells.

Authors:  Ehsan Sadeghnezhad; Mohsen Sharifi; Hassan Zare-Maivan
Journal:  Planta       Date:  2016-03-05       Impact factor: 4.116

6.  Survey of Phenolic Acids, Flavonoids and In Vitro Antioxidant Potency Between Fig Peels and Pulps: Chemical and Chemometric Approach.

Authors:  Lahcen Hssaini; Francisca Hernandez; Manuel Viuda-Martos; Jamal Charafi; Rachid Razouk; Karim Houmanat; Rachida Ouaabou; Said Ennahli; Driss Elothmani; Ilham Hmid; Marie Laure Fauconnier; Hafida Hanine
Journal:  Molecules       Date:  2021-04-28       Impact factor: 4.411

7.  New insights into Dehalococcoides mccartyi metabolism from a reconstructed metabolic network-based systems-level analysis of D. mccartyi transcriptomes.

Authors:  M Ahsanul Islam; Alison S Waller; Laura A Hug; Nicholas J Provart; Elizabeth A Edwards; Radhakrishnan Mahadevan
Journal:  PLoS One       Date:  2014-04-14       Impact factor: 3.240

8.  LINCS Canvas Browser: interactive web app to query, browse and interrogate LINCS L1000 gene expression signatures.

Authors:  Qiaonan Duan; Corey Flynn; Mario Niepel; Marc Hafner; Jeremy L Muhlich; Nicolas F Fernandez; Andrew D Rouillard; Christopher M Tan; Edward Y Chen; Todd R Golub; Peter K Sorger; Aravind Subramanian; Avi Ma'ayan
Journal:  Nucleic Acids Res       Date:  2014-06-06       Impact factor: 16.971

9.  High-dimensional immune profiling of total and rotavirus VP6-specific intestinal and circulating B cells by mass cytometry.

Authors:  N Nair; E W Newell; C Vollmers; S R Quake; J M Morton; M M Davis; X S He; H B Greenberg
Journal:  Mucosal Immunol       Date:  2015-04-22       Impact factor: 7.313

10.  Clustergrammer, a web-based heatmap visualization and analysis tool for high-dimensional biological data.

Authors:  Nicolas F Fernandez; Gregory W Gundersen; Adeeb Rahman; Mark L Grimes; Klarisa Rikova; Peter Hornbeck; Avi Ma'ayan
Journal:  Sci Data       Date:  2017-10-10       Impact factor: 6.444
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.