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Clone wikiBiostatistics Rockefeller University / Summer Student Project 2016
Screening Predictive Makers of Weight Loss
Student: Jason Mohabir
Computational Tools: R, Rstudio, Rmarkdown, Shiny and Inkscape.
The goal of this project is to identify a set of potential predictors of weight loss based on a set of 10 patients with an extensive database of different markers from metabolomics, microbiome, arrays, RT-PCR, RNA-Seq and clinical/demographic data.
Week 01
- Day 01 (06/27): R Tutorial (Learning R concepts: Data Frame, Vector, Matrix, Basic Operations)
- Day 02 (06/28): Basic Analysis with R: line plots, bar graphs, box plots
- Day 03 (06/29):
- Day 04 (06/30): Background of Weight Loss
- Day 05 (07/01): Literature Search about Weight Loss Predictors
Week 02
- Day 01 (07/05): Power Point presentation about Weight Loss background
- Day 02:(07/06): Developing a database with all datasets that we have
- Day 03:(07/07): Basic statistic analysis on the integrated database
Week 03
Week 04
- Day 01 : Learning how to edit figures with inkscape
Updated