Hi, my name is Da Kuang, a second year Ph.D. student in the Department of Computer and Information Science, University of Pennsylvania, advised by Professor Junhyong Kim.
This is a Single-cell Genomics Reading List to take notes on the papers I encountered while learning computational biology. I am a computer science student therefore the list tends to focus on Algorithm and Statistical Inference.
Now the reading list is powered by Obsidian and can be accessed from here: https://publish.obsidian.md/single-cell-papers/
Also, this reading list is hosted on GitHub. Feel free to star or fork it if you find it interesting. Pull requests and issues will be appreciated. Thanks!
- [[10 Must Reads]]
- [[Single-cell RNAseq Experiments]]
- [[Single-cell RNASeq Analysis]]
- [[Tutorials]]
- [[Modeling Count Data]]
- [[Analysis Framework]]
- [[Assembly and Quality Control]]
- [[Simulation]]
- [[Data Harmonirization]]
- [[Dimension Reduction]]
- [[Unsuperivsed Clustering]]
- [[Differential Expression Analysis]]
- [[Enrichment Analysis]]
- [[Single Cell Expression Atlas]]
- [[Single-cell Multimodal Analysis]]
- [[Inspiring Machine Learning Papers]]