scOrange Blog
-
Categories:
- clustering
- t-sne
- marker-genes
- tsne
- annotator
- data-mining
- embedding
- embryo
- genomics
- markers
Author: Iva Černoša, Aug 5, 2019
Automatic Cell Type Annotation
Learn how to effortlessly group and identify cell types in your dataset with a new widget: the Annotator as demonstrated here on the data from human pancreas (Baron et al., Cell Syst 2016).
Author: Iva Černoša, Jun 14, 2019
Embedding New Cells onto an Existing t-SNE Projection
We analyse cell population changes in the course of chemotherapy by recreating a part of a study from Galen et al. (Cell, 2019) and projecting single cell data set from an AML patient undergoing treatment onto a t-SNE of a healthy individual.
Author: Iva Černoša, Jun 6, 2019
Identification of Cell Populations in Healthy Bone Marrow
We identify cell populations in a dataset of healthy human bone marrow cells from Galen et al. (Cell, 2019) and take a look at the putative cell differentiation trajectories.
Author: Iva Černoša, May 10, 2019
Pinpointing Lineage Differentiation in Human Preimplantation Embryotic Cells
Combine clustering and the time component to pinpoint the time of trophectoderm (TE) and inner cell mass (ICM) differentiation in human preimplantation embryotic cells and recreate a part of study by Petropoulos et al. (Cell, 2016)
