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PowerPoint Presentation
https://www2.mrc-lmb.cam.ac.uk/personal/pemsley/coot/files/Ligand-meeting-July-9.pptx9 Jul 2014: Recent developments. Tests (outlier analysis) and Bug fixing ( with Paul). -
PowerPoint Presentation
https://www2.mrc-lmb.cam.ac.uk/groups/hmm/ImaginingTheBrain/2014/media/Changing_Brains_Neurotechnology_website.pptx2 May 2013: A peripheral nerve sensing test system that detects sensory impairments due to carpal tunnel syndrome is an example of a neurosensing system in practice. -
Rob Nicholls
https://www2.mrc-lmb.cam.ac.uk/download/lecture-4-statistical-theory/?wpdmdl=18810&refresh=6691471a4ba6f172079695417 Mar 2014: compares yields obtained under different conditions. Compare means to test for differences. -
Rob Nicholls
https://www2.mrc-lmb.cam.ac.uk/groups/murshudov/content/courses/lmb_statistics_course_2014/lectures/Lecture4_Statistical_Theory.pptx17 Mar 2014: compares yields obtained under different conditions. Compare means to test for differences. -
Use and misuse of statistics
https://www2.mrc-lmb.cam.ac.uk/groups/murshudov/content/courses/lmb_statistics_course_2014/lectures/Lecture1_Intro.pptx23 Feb 2014: 35. Simple qqplot. Let us test another one. Uniform distribution. qqplot(randu[,2],runif(1000)). -
Descriptive and exploratory statistics
https://www2.mrc-lmb.cam.ac.uk/groups/murshudov/content/courses/lmb_statistics_course_2014/lectures/Lecture2_DescrExplo.pptx3 Mar 2014: detect outliers and anomalies. test underlying assumptions. In general: build intuition about the data and problem. -
Descriptive and exploratory statistics
https://www2.mrc-lmb.cam.ac.uk/download/lecture-2-descriptive-statistics-and-exploratory-data-analysis/?wpdmdl=18806&refresh=669147182a5a917207969523 Mar 2014: detect outliers and anomalies. test underlying assumptions. In general: build intuition about the data and problem. -
Use and misuse of statistics
https://www2.mrc-lmb.cam.ac.uk/download/lecture-1-introduction-use-and-misuse-of-statistics/?wpdmdl=18805&refresh=669147177fcc8172079695123 Feb 2014: 35. Simple qqplot. Let us test another one. Uniform distribution. qqplot(randu[,2],runif(1000)).
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