Christophe Vanderaa

No longer on Twitter, we can keep in touch here:

[Christophe Vanderaa @c_vanderaa]

@TTCooper_PhD @SCP_meeting Same here

[Christophe Vanderaa @c_vanderaa]

@rah_ds @slavovLab Sorry for the late reply, but yes we are treating the cells as independent. I am currently working on extending the framework to include correlation structure caused by biological or technical replication, so stay tune😁

[Christophe Vanderaa @c_vanderaa]

Our new preprint is available on biorXiv: https://t.co/PJ1qlBopRD !🥳 We present scplainer, a principled computational approach to streamline and standardise #MassSpec #SingleCell #proteomics data analysis. Here's a 🧵 with our key messages.

[Christophe Vanderaa @c_vanderaa]

@lgamon Interesting question! I see no reason why scplainer would not work on spatial low-sample data, although I did not try it (yet?). An obvious limitation I see is that scplainer cannot take advantage of the spatial information. Suggestions for extensions of the method are welcome😉

[Christophe Vanderaa @c_vanderaa]

As always, many thanks to my promoter Laurent Gatto for his supervision. I also warmly thank Manon Martin and Bernadette Govaerts for their guidance on the APCA+ framework.

[Christophe Vanderaa @c_vanderaa]

scplainer will be (very) soon available in scp so that you can try it
yourself. Need data? All data used in this work were retrieved using
our scpdata package!
https://t.co/4RQOQDhw3q https://t.co/603RsFqsMa