Sara Masarone

PhD student at @turinginst and @QMUL | Medical AI | Omics

London

[Michael Barnes @thebarneslab]

Our most recent attempt to demystify AI for biomarker discovery - aimed at lab scientists and less experienced computational biologists, you can read it here https://t.co/2DA2OeNbKe

[Owkin @OwkinScience]

Meet PyDESeq2 – a Python-based software package for #RNAseq differential expression analysis based on DESeq2. Owkin is open-sourcing PyDESeq2 to support the growing community of bioinformaticians adopting Python for their data analysis workflows.

Check out PyDESeq2 on GitHub at https://t.co/z6VvI97ZVA

Read more at https://t.co/GvjBqhoDhU

#bioinformatics #python

[Michael Love @mikelove]

This is a really well done python reimplementation of DESeq2 and apeglm, I’ve checked the code closely. Nice work @BorisMuzc @Kramarek et al

[Purvesh Khatri @purveshkhatri]

Check out new work from @Inflammatix_Inc machine learning and assay development teams members @JRJB_C (while interning at Inflammatix), @DataForager and others! A glimpse into a pipeline for how we go from genes identified using public data to a clinical point-of-care test.

[Sara Masarone @StelMasara]

@JRJB_C Congrats! Nice paper!

[Pilar Cacheiro @pilarcacheiro]

My favourite thing in frosty days.

[Sara Masarone @StelMasara]

Had a lot of fun at @NeurIPSConf last week!
Join us today (online) at @lmrl_bio to learn about state of the art ML applications in biology/medicine/chemistry!
#poster19

[Learning on Graphs Conference 2026 @LogConference]

We have a wonderful lineup of EIGHT tutorials this year! 🎉 Be sure to check them out on Dec 10 and 11! You must be registered in the main LoG conference to participate.

For more information: https://t.co/bCzrsyiJBr

[Patrick Schwab @schwabpa]

You couldn't make it to #NeurIPS2022 this year?

Nothing to worry - I curated a summary for you below focussing on key papers, presentations and workshops in the buzzing space of ML in Biology and Healthcare 👇

[billy bubba bingus-drumpfus @wgrathwohl]

The best part of #NeurIPS22 is obviously the significant boats gallery.

[Michael Love @mikelove]

Stefano Mangiola @steman_research & I are planning a tutorial on "Tidy Genomic Analysis"

Dec 12, 4:30 PM EST
Dec 13, 8:30 AM AEDT
60 min + 30 min Q/A

- Tidy single-cell and bulk transcriptomics
- Tidy enrichment with plyranges and nullranges

Sign up:
https://t.co/psk4FeLCs6

[Valentina Cipriani @Val3Cipriani]

🙏 re-tweet or apply!

📢📢A #DataScientist/#Bioinformatician post is available within @QMUL @SmedleyDamian's team to work on data from the @NIH - funded MorPhiC project (Molecular Phenotypes of Null Alleles in Cells)

** Deadline: 25 Nov
👇👇👇
https://t.co/JcbKeHMBXJ

[Michael Schatz @mike_schatz]

Thank you for coming! Hope to see you all at #biodata24!

[Michael Schatz @mike_schatz]

The first session today is on Machine Learning co-chaired by @drklly and @marinkazitnik #biodata22

[Marinka Zitnik @marinkazitnik]

Next is Sara Masarone @turinginst with a talk on representation learning and its use to effectively integrate and interpret omics data #biodata22

https://t.co/4ji9UwK8Fb

[Michael Schatz @mike_schatz]

Data integration as the key to making progress on understanding disease and improving patient outcomes

[Michael Schatz @mike_schatz]

Up next is @StelMasara discussing “Representation learning to effectively integrate and interpret omics data” #biodata22 https://t.co/qRonmtqKIb

[Sara Masarone @StelMasara]

Great talk by @marinkazitnik introducing GNNs applications in biomedicine and presenting the Therapeutics Data Commons initiative! @ProjectTDC
#biodata22

[Yingxin Lin @LinYingxin]

Very excited that our latest work scJoint integrates atlas-scale single-cell RNA-seq and ATAC-seq data with transfer learning is finally out @NatureBiotech! https://t.co/zFK1pkjDHx It is a joint work and a great collaboration between Wong Lab @Stanford and @sydneybioinfo