Sarah Ennis's Tweets about Single-cell Genomics

Mark Sanborn

Applying #MachineLearning to single-cell data can seem daunting - so i've started a video series to help people get going. Starting with a Random Forest classifier, I give several #Python examples for predicting cell states: youtu.be/3Q9R2mv6GO0 #bioinformatics

Saved to Single-cell Genomics Machine Learning

about 1 year ago

Ming (Tommy) Tang

@tangming2005

what are the current methods to determine the optimal number of clusters from a single-cell RNAseq dataset?

Saved to Single-cell Genomics Dimensionality reduction

over 2 years ago

David McGaughey

@David_McGaughey

Tweetorial / remarks about our mega ocular single cell "scEiaD" resource: biorxiv.org/content/10.110……, github.com/davemcg/scEiaD. In June 2019 I simultaneously decided that I would go Genome Informatics 2019 and It was time to make the single-cell update to eyeIntegration.nei.nih.gov

Tweetorial on scEiaD (eye in a dish)
They used scarches to integrate LOADS of datasets and have a google colab notebook of it all
Also metrics for assessing integration and methods for scarches hyperparameter optimisation