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Education Advanced strategies for Metabolomics Data Analysis

1.Advanced Strategies for Metabolomic Data Analysis Dmitry Grapov, PhD MetabolomicDataAnalysis 2. Analysis at the Metabolomic Scale 3. Multivariate Analysis Samples variables…

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1.IntroductionIntroduction to Metabolomic Data AnalysisDmitry Grapov, PhD2. IntroductionImportant •This is an introduction to a series of 8 tutorials for metabolomic data…

Education Egypt atef shahin-slow-rusting_resistance_in_20_egyptian_wheat_cultivars

1.Atef A. Shahin, Ph.D Wheat Disease Research DepartmentWheat Disease Research Department Plant Pathology Research InstitutePlant Pathology Research Institute ARC, EgyptARC,…

Technology Sample managemen tby kananika

1.SAMPLEMANAGEMENT BY ARON YOHANA KANANIKA (BSc.Ed (Hons), MBA(F&B) FORENSIC BUREAU CID HQ DSM2. POSTMORTEM TOXICOLOGY Postmortem toxicology is used to determine whether…

Business EuFMD Presentation 2010_Nigeria

1.FMD VIRUS SITUATION IN NIGERIA D. D. Lazarus*., S. S. Adamu., D. Shamaki., F. O. Fasina2. slide title (1/20) Nigeria has a tropical climate with sharp regional variance…

Health & Medicine Outbreak investigation

1.Dr. Faisal Al Haddad Consultant of Family Medicine2. Goals The goals of this presentation are to:  Provide a general overview of the basic steps ofdisease outbreak investigations…

Documents Compatibility testing

1.COMPATIBILITY TESTINGDr. Nawsherwan sadiq 2012-20132. COMPATIBILITY TESTINGAs the knowledge of new blood group system increased.Pioneer blood bankers mixed the patient’s…

Business ICPHSO 2014 Advanced Compliance Course

1.1 Views expressed in this presentation are those of the staff and do not necessarily represent the views of the Commission Advanced Compliance Course Saint Louis University…

Technology F2 T

1.   2.   3. Successful learning is all about motivation Reason and desire to communicateInteresting, relevant topics Personalized, achievable tasks and activities Authentic…

Data & Analytics Random forest

1.  Random forest is a classifier  An ensemble classifier using many decision tree models.  Can be used for classification and regression  Accuracy and variable…