[Study markdown][1] Introduction of Single-cell trajectory and pseudotime analysis
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Learning single cell knowledge!
Welcome to Chen’s learning blog! This is a space where I share my thoughts, experiences, and insights on mostly bioinformatics, many biomedical, some computor science! Whether you’re a fellow enthusiast or simply curious, I invite you to join me on this journey as we explore the captivating world of gene, protein, RNA… and codes.
So, sit back, grab a beverage, and let’s dive into the fascinating realm of single-cell trajectory and pseudotime analysis together! But just introduction.
- dataset: detect the same section for sc data, lasting for several days
- then package them into a dataset, using this dataset to visualize the cell change along the time change. (the color in the heatmap means the days )
pseudotime: the track line means the cell differentiation track of these cells. So we can notice some iPSC back to iPSC while some others differentiate into another kind of cells.
The change of genes we selected; how gene change changes the cell differentiation
