Carissa Chen (@carissaynchen) 's Twitter Profile
Carissa Chen

@carissaynchen

PhD Candidate | Computational Systems Biology Unit | Children's Medical Research Institute | University of Sydney; President of @combine_au 2023

ID: 1388825948259188740

calendar_today02-05-2021 12:01:32

43 Tweet

67 Followers

125 Following

Sydney Precision Data Science Centre (@sydneybioinfo) 's Twitter Profile Photo

🔬 Our Statistical Bioinformatics Seminar series is back next week! 🌟 Get ready for an insightful semester with our incredible lineup of speakers. Don't miss out! #Bioinformatics #Seminar 👉bit.ly/3DPCCP3

🔬 Our Statistical Bioinformatics Seminar series is back next week! 🌟 Get ready for an insightful semester with our incredible lineup of speakers. Don't miss out! #Bioinformatics #Seminar

👉bit.ly/3DPCCP3
Hao Yin (@haoyin20) 's Twitter Profile Photo

My continued biological education Resident tissue macrophages: Key coordinators of tissue homeostasis beyond immunity Organ-conserved vs Organ-specific populations Amazing review😍 @jiazhao0 Hernandez Moura Silva Science Immunology 2024 science.org/doi/10.1126/sc…

My continued biological education

Resident tissue macrophages: Key coordinators of tissue homeostasis beyond immunity

Organ-conserved vs Organ-specific populations

Amazing review😍

@jiazhao0 <a href="/hernandezmsilva/">Hernandez Moura Silva</a> <a href="/SciImmunology/">Science Immunology</a> 2024
science.org/doi/10.1126/sc…
Dharmesh Bhuva (@bhuva_dd) 's Twitter Profile Photo

A few months back we showed the need for spatially aware normalisation methods. To address this need, we present SpaNorm, the first ever spatially aware normalisation method for count-based spatial ‘omics data. biorxiv.org/content/10.110… bhuvad.github.io/SpaNorm

A few months back we showed the need for spatially aware normalisation methods. To address this need, we present SpaNorm, the first ever spatially aware normalisation method for count-based spatial ‘omics data.

biorxiv.org/content/10.110…
bhuvad.github.io/SpaNorm
Andrew Oldfield (@serialchiper) 's Twitter Profile Photo

Just finished hosting Computational Systems Biology Lab and lab members for an amazing week InstituteHumGenetics filled with learning about scMultiomics, brainstorming and maybe a drink or 3. So proud to see how far we've come since our postdocs in Jothi Lab 🍻

Just finished hosting <a href="/PengyiYang82/">Computational Systems Biology Lab</a> and lab members for an amazing week <a href="/IGH_MTP/">InstituteHumGenetics</a> filled with learning about scMultiomics, brainstorming and maybe a drink or 3. So proud to see how far we've come since our postdocs in <a href="/Jothi_Lab/">Jothi Lab</a> 🍻
Carissa Chen (@carissaynchen) 's Twitter Profile Photo

I will be speaking at the upcoming Stem Cell Conversation on Wednesday 24th July at 11-11:30 AM! (Zoom details available on request via QR) Looking forward to sharing my recently published work on trans-omics profiling of early human cerebral organoids! Join the Conversation!

I will be speaking at the upcoming Stem Cell Conversation on Wednesday 24th July at 11-11:30 AM! (Zoom details available on request via QR)

Looking forward to sharing my recently published work on trans-omics profiling of early human cerebral organoids! Join the Conversation!
Carissa Chen (@carissaynchen) 's Twitter Profile Photo

Great collaboration with John Ouyang and the Sun Lab at Duke-NUS! Raising important questions about the fidelity of current state-of-the-art in vitro midbrain protocols and employment of multi-resolution cell annotation of midbrain organoids. Check out the preprint below!

Joachim Schork (@joachimschork) 's Twitter Profile Photo

Looking to take your data visualization to the next level? The ggdist package extends ggplot2 with specialized tools for visualizing distributions, uncertainties, and comparing data groups. It’s a powerful add-on to your ggplot2 toolkit, especially useful for communicating

Looking to take your data visualization to the next level? The ggdist package extends ggplot2 with specialized tools for visualizing distributions, uncertainties, and comparing data groups. It’s a powerful add-on to your ggplot2 toolkit, especially useful for communicating
Ming "Tommy" Tang (@tangming2005) 's Twitter Profile Photo

1/ 🧵 No, you do not always need Single-Cell RNA-seq. Single-cell RNA-seq is popular and powerful, but it's not always the best choice. Here's why you should think carefully before diving in.