EP 78 (EU/Asia): 𝐀𝐝𝐯𝐚𝐧𝐜𝐢𝐧𝐠 𝐌𝐮𝐥𝐭𝐢𝐦𝐨𝐝𝐚𝐥 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 - 𝐇𝐨𝐰 𝐭𝐨 𝐖𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐆𝟒𝐗 𝐃𝐚𝐭𝐚 𝐨𝐧 𝐒𝐩𝐚𝐭𝐢𝐚𝐥𝐗

Extract richer insight from your spatial biology datasets. In complex tissues, making sense of how transcriptomics and proteomics relate to each other is key to mapping the cellular landscape. Then how can we integrate and analyze both spatial layers within a unified framework? Join this BioTuring Single-Cell & Spatial Exploration (SCSE) Club session, hosted by Jessie Nguyen from our Academia team, as we walk through analyzing G4X data in SpatialX. On the agenda: 1️⃣ 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐞 𝐃𝐚𝐭𝐚: High-resolution ways to view both the transcriptomics and the proteomics. 2️⃣ 𝐌𝐚𝐭𝐫𝐢𝐱 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: Combining RNA and protein expression matrices for multi-omic analysis. 3️⃣ 𝐌𝐮𝐥𝐭𝐢𝐦𝐨𝐝𝐚𝐥 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: Using both modalities together for differential gene expression and cell type prediction. 4️⃣ 𝐒𝐩𝐚𝐭𝐢𝐚𝐥 𝐍𝐢𝐜𝐡𝐞𝐬: Mapping distinct spatial niches and the cell interactions inside the tumor microenvironment. #SpatialX #SpatialBiology #Transcriptomics #Proteomics #TumorMicroenvironment #G4XData #Bioinformatics