MSc Statistics, currently working on Machine Learning in biological research projects at https://xitter.cf/t.co/8ToDogYuqB
Copenhagen, Denmark
Joined October 2012
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Henry retweeted
📄 Explore the latest from Bioinformatics Advances: "VueGen: Automating the generation of scientific reports"
Full article available: doi.org/10.1093/bioadv/vbaf1…
Authors include: @sayalaruano, @Henrywebel
Henry retweeted
Passionate about genetics, metabolism, and neuroscience? Join us for a Postdoc to explore how obesity-associated genetic variants impact hypothalamic circuits using CRISPR-based Perturb-seq & in vivo metabolic phenotyping
candidate.hr-manager.net/App…
@Metabolcenter #Obesity
Henry retweeted
uv—you've probably heard of it, but are you using it for... pretty much everything?
Save time and speedup your workflows (in under 10 minutes) in my latest video.
00:00 - Introduction to uv
00:38 - Installing Python versions with uv
01:14 - Project initialization and setup
02:31 - Creating virtual environments
03:35 - Package management with uv
06:12 - Running Python projects with uv
Henry retweeted
Our article in Nature Communications! nature.com/articles/s41467-0… our DL tool Taxometer can improve taxonomy annotations for metagenome contigs using binning features and hierarchical loss, bridging the gap between taxonomy and binning
Henry retweeted
🎊 It has arrived 🎊, the 2nd edition of my "Deep Generative Modeling" book. It has 100 new pages, 3 new chapters (incl. #LLMs) and new sections. It covers all deep generative models that constitute the core of all #GenerativeAI techs!
Check it out:
💻tinyurl.com/mwj9dw83
Henry retweeted
Join my group in beautiful Copenhagen @Metabolcenter. A 3-year international postdoc position is available in my group.
Topic is developing multi-omics foundation models
bit.ly/3T98er5
#jobalert #postdoc #bioinformatics #deeplearning #multimodal #integration
Henry retweeted
@Henrywebel @hustniu @AnnelauraBach @larsjuhljensen @labs_mann @simonrasmu @UCPH_CPR and @Metabolcenter suggest the use of deep learning approaches for imputing missing values in MS-based proteomics on larger datasets and provide workflows for these
nature.com/articles/s41467-0…
Henry retweeted
What began as casual discussions and a small hobby project has now evolved into a full manuscript. We are excited to introduce you to "fastmixture", a much faster alternative to ADMIXTURE that doesn't compromise on accuracy in ancestry estimation.
biorxiv.org/content/10.1101/…
There, you can choose to set data aside for evaluation or not (with different shares of low to high intensities): Unsurprisingly during revisions missing-not-at-random (MNAR) and missing-(completly)-at-random (M(C)AR) came up as a topic.
The core functionality - three new models for imputation and the comparison workflow - is tested using integration and unit tests on a weekly basis, but please provide any questions or encountered errors in an issue: github.com/RasmussenLab/pimm… (you will need a free GitHub account)
Thanks for collaboration @AnnelauraBach, @hustniu, @larsjuhljensen, @labs_mann,
and of course for all the patience and support @simonrasmu.
@UCPH_CPR @Metabolcenter
Henry retweeted
𝑮𝒐𝒊𝒏𝒈 𝒘𝒊𝒕𝒉 𝒕𝒉𝒆 𝒇𝒍𝒐𝒘 at the Generative AI summer school #GeMSS2024 at @TUeindhoven !
What a wonderful, well-explained talk on Flow Matching by the brilliant @helibenhamu 🤩
Check our work. I will tweet a brief summary and tutorial soon. Code available at github.com/RasmussenLab/pimm… and on PyPI (pimms-learn)
@Henrywebel @hustniu @AnnelauraBach @larsjuhljensen @labs_mann @simonrasmu @UCPH_CPR and @Metabolcenter offer acomparison workflow of established with three new scalable, fast and performant methods from deep learning for large and high dimensional data
nature.com/articles/s41467-0…
