Very excited to be attending #STATGEN2024! 🧬 🧪 👩‍🔬 💻

Presentations from me + @kasperdhansen.bsky.social's groups @jhubiostat. We've got loads of methods for #spatial #transcriptomics along w/ prediction of #genotypes and #cellcycle and super cool #longread #RNAseq!

🔗 sph.pitt.edu/statgen-2024...

Just like that, my 1st @jhubiostat course is now over. Thx for having me!

I told the students that I'll see them around in diff R communities!

The last 20 min I talked about why #rstats communities are great (very welcoming!) & that they can join some

lcolladotor.github.io/jhustatcompu...

I'm super excited to share this preprint led by @lahuuki.bsky.social on benchmarking #deconvolution methods vs orthogonal #RNAScope/IF in human brain 🧠 in collab w/@jhubiostat

If you prefer a video version, check Louise's excellent LIBD seminar 👏🏽

youtu.be/6fTnp_hcYeI

twitter.com/lahuuki/stat...

+ a summary of my career path from #LCGunam #WinterGenomics #JHUbiostat to #LieberInstitute with lots of #RStats & #Bioconductor including @libdrstats.bsky.social @cdsbmexico.bsky.social

Thank you @David_J_Adams @EstefVazque @mtzpris & Bianca orcid.org/0000-0002-82... for inviting me to present ^_^

Thanks for #JHPCE user award 😊 & the fun hat 🧢 with LED lights 🚥
@jhubiostat 🫱🏼‍🫲🏾 @LieberInstitute

I'm glad that you find the material we have shared jhpce.jhu.edu/knowledge-ba... useful ^_^

Congrats @kasperdhansen.bsky.social for the 2022 award! conda_R is VERY useful!

youtube.com/playlist?lis...

I finally updated my CV for #JHUbiostat 😅 +

* team & publications at lcolladotor.github.io
* pubs list at www.linkedin.com/in/lcollado/
* lcolladotor.github.io/cv/

I'm feeling grateful for all collaborators & opportunities I've had to reach 56 publications + 11 preprints. Thank you!

I had fun teaching about #ggplot2 today @jhubiostat #RStats lcolladotor.github.io/jhustatcompu...

We went over how to make plots w/

@BBC's style #bbplot

#Barbenheimer & #ThemePark::theme_barbie()

#plotly::ggplotly() interactive graphics

#colorblindr::cvd_grid() @ClausWilke + much more! 🤩

I'm excited to be back this year to teach "140.776 Statistical Computing" at @jhubiostat @JohnsHopkinsSPH 😊
This year, I decided to start with some music 🎶. I like part of the lyrics of this song, which talks about overcoming challenges, [...]

lcolladotor.github.io/jhustatcompu...

1/3 🧵

Thanks Weiqiang Zhou & Margaret Taub for inviting to present at the Current Topics in Biostatistics seminar

It was fun reminiscing about the past & sharing my experience. Got them to laugh a few times ^^

Here are my notes 📔
docs.google.com/document/d/1...

@jhubiostat @LieberInstitute

Another job posting! This time for finance staff folks.
@jhubiostat
is looking for a Sr. Grants and Contracts Analyst to provide support on pre-award and post-award functions. Join us!

jobs.jhu.edu/job/Baltimor...

#OTD in 1976 the Reed Frost Symposium on Biostatistics and Epidemiology to honor Lowell Reed and Wade Hampton Frost was held. Pictured are two of the speakers, Abraham Lilienfeld (epi) and Margaret Merrell (biostat). @JohnsHopkinsEPI @jhubiostat #publichealth

I'm excited to present tomorrow about #spatialLIBD and the analysis of spatially-resolved transcriptomics #Visium data with #rstats & #Bioconductor tools

Thanks for inviting me #FLGenomics!

Check 👀 the slides here 👇🏽
speakerdeck.com/lcolladotor/...

#LieberInstitute #jhubiostat #10xGenomics

Thank you for the opportunity to share what we’ve learnt about #rstats & #Bioconductor over the years

I find it very motivating to help empower others to do more things & open opportunities for them

Good luck with your omics analysis!

#cshlcourses #LieberInstitute #jhubiostat

As noted in the acknowledgements, we would like to thank

* the families of the donors
* Lieber and Maltz families who created @LieberInstitute
* Amy Deep-Soboslay, James Tooke, @martinowk.bsky.social from LIBD
* Linda Orzolek
* JHPCE @jhubiostat

I found the JHU Data Services talk at #IDIES2023 very interesting! 🤩

I’ll reach out to that group & explore possible synergies with what my team does at @LieberInstitute + advertise their services to the Stat Computing students @jhubiostat @IDIESJHU

dataservices.library.jhu.edu