-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathREADME.Rmd
35 lines (23 loc) · 1.43 KB
/
README.Rmd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
```
# My PhD thesis
<!-- badges: start -->
[![Netlify Status](https://api.netlify.com/api/v1/badges/a71856c3-c83a-4be6-aa3b-642e0e3ec82e/deploy-status)](https://app.netlify.com/sites/christianholland-thesis/deploys)
<!-- badges: end -->
## From gene expression to pathway and transcription factor activities to study chronic liver diseases
This thesis is based on three manuscripts each forming a separate chapter. An online version of this thesis can be accessed at [Netlify](https://christianholland-thesis.netlify.app).
### Chapter 1
Transfer of regulatory knowledge from human to mouse for functional genomics analysis ([Publication](https://doi.org/10.1016/j.bbagrm.2019.194431), [GitHub repository](https://github.com/saezlab/ConservedFootprints)).
### Chapter 2
Robustness and applicability of transcription factor and pathway analysis tools
on single-cell RNA-seq data ([Publication](https://doi.org/10.1186/s13059-020-1949-z), [GitHub repository](https://github.com/saezlab/FootprintMethods_on_scRNAseq)).
### Chapter 3
Transcriptomic cross-species analysis of chronic liver disease reveals consistent regulation between humans and mice ([Publication](https://doi.org/10.1002/hep4.1797), [GitHub repository](https://github.com/saezlab/liver-disease-atlas)).