The Ma'ayan Lab specializes in developing algorithms and software for the integration, analysis, and visualization of omics datasets. #Enrichr #bioinformaticsicahn.mssm.edu/labs/maayan New York, NY USAJoined September 2014
Join us on Thur. July 24 @ 2 PM ET for a virtual seminar about ChEA-KG, a newly developed @MaayanLab web-based app that enables users to analyze their gene sets in context of a human gene regulatory network (1559 transcription factors). Please register at maayanlab.cloud/turl/35e9d6a0
Genes in cells are a bit like words, and gene sets are like sentences b/c genes are reused in different contexts; To learn the language of the cell, @MaayanLab developed: A #GeneSet#FoundationModel Pre-Trained on a Massive Collection of Diverse Gene Sets biorxiv.org/content/10.110…
Join us on Thursday, February 27 at 2:00 PM ET for a virtual seminar featuring ARCHS4, a web resource that streamlines access to over two million uniformly aligned RNA-seq samples from GEO. Please register in advance: maayanlab.cloud/turl/a60f13d9
Join us on Thursday, January 23 at 2:00 PM ET for a virtual seminar featuring GeneSetCart, a web application for multi-omics AI-driven gene set analysis. Please register in advance for this virtual seminar: maayanlab.cloud/turl/6660bf4c
A great talk by @AviMaayan and his team on Tuesday at the @SinaiGenetics WIP in Computational Biology and Data Science, showcasing their excellent new bioinformatic interfaces, including Rummagene and others.
Rummagene is a search engine for gene sets, created by extracting human and mouse gene sets from supporting materials of >120,000 biomedical research publications: nature.com/articles/s4200…@AviMaayan@MaayanLab
🧬🔍 Dive into the Diabetes & Data Exploration with D2H2! The Diabetes and Data and Hypothesis Hub is a transformative platform unlocking the potential of omics datasets in diabetes research. doi.org/10.1093/bioadv…@AviMaayan@IcahnMountSinai
The new #NIH_CFDE Data Resource Center will create a portal to catalyze user-friendly queries of Common Fund data sets and connect users to Common Fund resources to enable new discoveries only possible by searching across Common Fund data. go.nih.gov/GNIq7yC
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Lab members tweet about our news, activities & publications
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**All posts now on @greally.bsky.social**
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Omics+Probabilistic Machine Learning+ODE=System Biology
Centre for New Antibacterial Strategies
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