Mehadi Hasan
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ngshasan.bsky.social
Mehadi Hasan
@ngshasan.bsky.social
Bioinformatician | Biostatistician | Research Staff @bcmhouston, Former @GSK, Alumnus @UABNews
Reposted by Mehadi Hasan
We recently added a preprint version of our scTrimClust method for robust analysis of trimmed single cell clusters to biorxiv www.biorxiv.org/content/10.1... #rstats #scRNAseq #bioinformatics #singlecell
scTrimClust: A Fast Approach to Robust scRNA-seq Analysis Using Trimmed Cell Clusters
Detection of marker genes and other data analyses in single cell RNA-sequencing (scRNA-seq) experiments very much rely on the result of unsupervised clustering of cells. However, in 2-dimensional repr...
www.biorxiv.org
April 22, 2025 at 9:11 AM
Reposted by Mehadi Hasan
The Comparative Genomics and Data Science (CGDS) Core at MDI Bio Lab is looking for a Bioinformatician/Programmer to join our team. This position blends research support with teaching. If you're passionate about #datascience, #genomics, and mentoring, we want to hear from you!

🧪 🤝 🖥️ 🧬
Bioinformatician
mdibl.org
April 22, 2025 at 12:11 PM
Reposted by Mehadi Hasan
16 tools/papers for multi-sample multi-group single-cell RNAseq differential expression analysis 🧵 👇
April 22, 2025 at 1:45 PM
Reposted by Mehadi Hasan
MIT offering travel advice (or rather do not travel advice) for international visitors and green card holders.

If folks at other institutions are receiving similar guidance, please consider sharing here.

Please be as safe as you can.
March 19, 2025 at 11:16 PM
Reposted by Mehadi Hasan
New preprint alert! 🚀 @simongraf.bsky.social showcases dice and domino plots for intuitive data visualization. Check it out: github.com/maflot/Dicep... – a great tool for making complex data more accessible. #preprint #dataviz #Parkinsons #DLB #Covid19 #bioinformatics
March 18, 2025 at 11:06 AM
Reposted by Mehadi Hasan
Stanford and Cornell just released "Block Diffusion" - an exciting new kid on the LLM block! It is quite exciting to see that LLMs may finally have reached their paralle-inference moment:

Paper: arxiv.org/abs/2503.09573
Repo: github.com/kuleshov-gro...

#ML #MachineLearning #AI
March 18, 2025 at 11:00 AM
Reposted by Mehadi Hasan
We are delighted to announce the release of ellmer, an R package for accessing the power of LLMs in R!

ellmer supports a variety of model providers. Chat, tool call, stream API calls, extract structured data, and more!

Learn about it here: posit.co/blog/announc...

#RStats #AI #LLM
February 26, 2025 at 3:01 PM
Reposted by Mehadi Hasan
March 6, 2025 at 3:58 AM
Reposted by Mehadi Hasan
(1/3) Natural Language Processing with Deep Learning 🚀

Stanford released yesterday a new version of their NLP with Deep Learning course (CS224N). This course by Prof. Chris Manning is, in my opinion, one of the best resources for getting started with NLP and LLM.
#AI #LLM #NLP #Python #datascience
March 5, 2025 at 5:22 PM
Reposted by Mehadi Hasan
Want to give your AI assistant access to files, real-time data, or custom tools? Model Context Protocol (MCP) is changing how LLMs interact with external systems - like USB for AI! Check out my latest tutorial to see how it works with Claude, Cursor, and more. #AI #MCP #LLM

youtu.be/nNLshWCoe0o
Model Context Protocol (MCP) Explained: How to Give AI Access to Your Files, Web Searches & More
YouTube video by Dan Vega
youtu.be
March 12, 2025 at 1:44 AM
Reposted by Mehadi Hasan
Expression of interest is now open for our Image Processing with #Python course - ideal for researchers who expect to be producing volumes of image data that would benefit from some automated analysis.

👉 buff.ly/e8BX2Pz

#datacarpentry #bioinformatics 🖥️ 🧬
Image Processing with Python
This Image Processing carpentry workshop uses Python and skimage to allow researchers to do fundamental image processing as part of their analyses. A working knowledge of Python and some previous…
buff.ly
March 15, 2025 at 1:00 PM
Reposted by Mehadi Hasan
Another classic! I wish he would do a 2nd edition...
March 17, 2025 at 1:31 PM
Reposted by Mehadi Hasan
Inferring single-cell resolution spatial gene expression via fusing spot-based spatial transcriptomics, location and histology using GCN https://www.biorxiv.org/content/10.1101/2024.10.27.620535v1
Inferring single-cell resolution spatial gene expression via fusing spot-based spatial transcriptomics, location and histology using GCN https://www.biorxiv.org/content/10.1101/2024.10.27.620535v1
Spatial transcriptomics technology allows for the detection of cellular transcriptome information wh
www.biorxiv.org
October 30, 2024 at 1:47 AM