natalie-stephenson Goto Github PK

aml

formla1

geojson

githubtemplate

grb2-sh2-screen_wip

This is the work I performed at University of Leeds, investigating the relationships between GRB2 and SH3 domain-containing proteins in cancer.

kaggle_titanic_wip

Playing around with the Titanic ML dataset in my spare time, to practice feature engineering and machine learning using R.

kimo-screen

The KIMO Screen (or truncation and motif based pan-cancer analysis) highlights novel tumor suppressing kinases. SUMMARY: A unique computational pan-cancer analysis pinpoints novel tumor suppressing kinases, and highlights the power of functional genomics by defining the JNK pathway as tumor suppressive in gastric cancer. PUBLICATION AUTHORS: Andrew M. Hudson, Natalie L. Stephenson, Cynthia Li, Eleanor Trotter, Adam J. Fletcher, Gitta Katona, Patrycja Bieniasz-Krzywiec, Matthew Howell, Chris Wirth, Simon Furney, Crispin J. Miller, John Brognard ARTICLE: https://stke.sciencemag.org/content/11/526/eaan6776.long

kimo-screen_2.0.0_wip

Following on from the success of the published truncation and motif based pan-cancer analysis, which highlighted novel tumor suppressing kinases, this screen aims to improve the accuracy and sensitivity of this screen by introducing more biological features to analyse. NOTE: KIMO 2.0.0 is a work in progress and is updated as and when I have time to work on this.

kinase-structure-mutational-screen

Together with Christopher Smowton, I have started to develop a high throughput kinase structural screening tool which allows inexperienced users to launch and run molecular dynamics simulations on any kinase protein, by simply typing the name of the kinase and the mutation of interest. This will run the simulation and output a number of analyses on the structural movements of that structure. The next step is to look at clustering these changes to categorise key changes that are consistent with damaging mutations.

noiseprint

Noiseprint, a CNN-based camera model fingerprint

powerbi-visuals-tools

Contains tools for building/packaging Power BI visuals

redwine_wip