Integrating #spatial multi-omics and #histology datasets can be challenging. Jinxia Wang, Yuying Huo, Xiangyu Li &co present SpaMOAL, a graph contrastive learning framework that enables accurate spatial domain identification by integrating diverse spatial multi-#omics data. plos.io/3TCzTnA 🧪

🧬 Master MS-based omics! Join our hands-on course on LC-MS/MS ID, quantitation, Proteomics, Metabolomics & RNA.
📅 Sep 26-27 | 9-17h
📍 Singapore
💻 Bring laptop & your own data to discuss with experts!
Infos: www.denbi.de/training-cou...
#MassSpectrometry #Bioinformatics #Omics

Integrating multi-omics technologies to decipher microbiome functions
#microbiology #microbiome #omics #MicroSky
@natcomms.nature.com
www.nature.com/articles/s41...

Join our online course Introduction to #DeepLearning for Biologists, 23–27 Nov
Learn how to develop & evaluate deep learning models for biological data, with hands-on training in classification, regression, segmentation & omics applications
www.physalia-courses.org/courses-work...
#Omics

#GrassResearch
🧬 IAA & BR synergistically boost MDJ stem growth while cis-zeatin triggers dwarfing under LW.
Details: https://maxapress.com/article/doi/10.48130/grares-0026-0016
#Phytohormone #Omics

Working with single-cell RNA-Seq data and wondering where to start with the analysis?
This blog includes the main steps:
https://www.fiosgenomics.com/single-cell-rna-seq-data-analysis-workflow
#omics #bioinformatics #singlecell #scRNAseq