'Whole dataset' presentation slideshows

MCB 5472

MCB 5472. Types of selection. Peter Gogarten Office: BSP 404 phone: 860 486-4061, Email: gogarten@uconn.edu. Old assignment. Write script from e xam Work of Student project. Simple: dinucleotide sequence from single nucleotide sequence. Part I: Reading data .

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Goal

437 views • 29 slides

Calibration Infrastructure for the GLAST LAT Joanne Bogart Stanford Linear Accelerator Center

Gamma-ray Large Area Space Telescope. Calibration Infrastructure for the GLAST LAT Joanne Bogart Stanford Linear Accelerator Center jrb@slac.stanford.edu. http://www-glast.slac.stanford.edu/software. Contents. Introduction and definitions Requirements Data and metadata System overview

410 views • 26 slides

2:6 ( x ) metagenes 2:6 ( y ) clusters

a. b. Training Set ( n = 100). 2:6 ( x ) metagenes 2:6 ( y ) clusters. % sample reproducibility. Select 80% of dataset. Repeat 100 times. NMF for x metagenes. Metagenes. Clusters. Project onto whole dataset. c. d. Group into y clusters. For each sample, identify modal class.

108 views • 1 slides