Mapping topologies of complex manifolds.
The bioRxiv preprint contains the essential ideas, but is otherwise very much out of date. Here's a completely revised version. This repository used to be at theislab/graph_abstraction.
PAGA is available within Scanpy through: tl.paga
| pl.paga
| pl.paga_path
| pl.paga_compare
.
Listed below are central example notebooks, which also allow reproducing all main figures of the revised preprint. If you start working with PAGA, go through blood/paul15.
notebook | system | details | reference | figure |
---|---|---|---|---|
blood/simulated | hematopoiesis | simulated | Krumsiek et al., Plos One (2011) | 2a |
blood/paul15 | murine hematopoiesis | 2,730 cells, MARS-seq | Paul et al., Cell (2015) | 2b |
blood/nestorowa16 | murine hematopoiesis | 1,654 cells, Smart-seq2 | Nestorowa et al., Blood (2016) | 2c |
blood/dahlin18 | murine hematopoiesis | 44,802 cells, 10x Genomics | Dahlin et al., Blood (2018) | 2d |
planaria | planaria | 21,612 cells | Plass et al., Science (2018) | 3 |
zebrafish | zebrafish embryo | 53,181 cells | Wagner et al., Science (2018) | 4 |
1M_neurons | neurons | 1.3 million cells, 10x Genomics | 10x Genomics (2017) | S12 |
deep_learning | cycling Jurkat cells | 30,000 single-cell images | Eulenberg et al., Nat. Commun. (2017) | S14 |
All supplemental figures of the revised preprint can be reproduced based on the follwoing table.
notebook | description | figure |
---|---|---|
connectivity_measure | connectivity measure | S1, S2, S3 |
robustness | robustness and multi-resolution capacity | S4, S5 |
comparisons/simulated_data | comparisons for simulated data | S6, S7 |
comparisons/paul15_monocle2 | comparison Monocle 2 for Paul et al. (2015) | S8 |
comparisons/nestorowa16_monocle2 | comparison Monocle 2 for Nestorowa et al. (2016) | S9 |
embedding_quality | quantifying embedding quality | S10 |
simulation | simulating hematopoiesis | S11 |
1M_neurons | neurons, 1.3 million cells, 10x Genomics, 10x Genomics (2017) | S12 |
blood/paul15 | annotation of louvain clusters using PAGA | S13 |
deep_learning | cycling Jurkat cells, 30,000 single-cell images, Eulenberg et al., Nat. Commun. (2017) | S14 |