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