Niranj Chandrasekaran

[Niranj Chandrasekaran @sniranjc]

Morph Map is now published in Nature Methods. Excited to see what the community discovers with this resource mapping ~15,000 human genes!

https://t.co/jixSC9ajUb

[Anne Carpenter, PhD @DrAnneCarpenter]

Now on biorxiv! The JUMP-Cell Painting Consortium’s paper:

“Morphological map of under- and over-expression of genes in human cells”

This is the genetic perturbation portion of the JUMP’s dataset; our chemical perturbation paper will come in a few months
https://t.co/IY127qNjMR

[Nature Reviews Drug Discovery @NatRevDrugDisc]

Machine learning can enable more effective application of image-based profiling in many aspects of the drug discovery process - find out more in this review by @DrAnneCarpenter et al. published today https://t.co/jSA62BM7jQ

[Anne Carpenter, PhD @DrAnneCarpenter]

Our first review article on image-based profiling in 4 years!

Postdoc Niranj Chandrasekaran @sniranjc led this major work, with Hugo Ceulemans/Janssen & Justin Boyd/Pfizer.

It catalogs major developments, esp rekindled interest due to machine learning!

https://t.co/tZBhliriw1