MapBatch: Conservative Batch Normalization for scRNAseq Enables Discovery of Rare Cell PopulationsWatch nowWhat is MapBatch for scRNAseq?MapBatch is a tool designed for conservative batch normalization of single cell RNA sequencing (scRNAseq) data. It helps in identifying rare cell populations by maintaining the biological signal necessary for such discoveries.Here’s how it works:Autoencoders: MapBatch uses autoencoders trained on individual samples to learn the underlying gene expression structure without batch effects.Ensemble Model: It combines multiple autoencoders, each trained on a single sample, to incorporate multiple samples into the training process.Biological Signal Preservation: By focusing on preserving the biological differences between cells, MapBatch reduces batch effects while maintaining the essential biological signals.This approach is particularly useful in cancer research, where detecting rare cell populations can be crucial for understanding the disease.In this webinar, you’ll learn about:Autoencoders for batch normalizationBenchmark of MapBatch with other toolsCase study of successful identification of rare cell populationsAbout the speakerDr. Chern Han YongChern completed an undergraduate honors thesis on “Cooperative Coevolution of Multi-Agent Systems.” He went on to get an MS in Computer Sciences at the University of Texas at Austin, and then to the PhD program in Computational Biology at the National University of Singapore.Get in touch with us to discover how we can assist you on your next project.Check out our latest webinars Learn more Understanding T-Cell Responses: Coupling Single Cell Sequencing with Advanced Immunoinformatics Characterising T-cell responses at high resolution is essential for advancing immuno-oncology, infectious disease research and cell therapy development. Single cell RNA and T-cell receptor (TCR)… Read more Single Cell Symposium TU Munich 2026 Thank you for joining us at the Single Cell Symposium at the Technical University of Munich, whether you tuned in online or traveled to meet… Read more B2B-RARE Bench to Bedside: Understanding and Personalizing Treatment for Rare Neuromuscular Diseases In the European Union alone, around 36 million people live with a rare disease. And that number sounds almost contradictory. How can something rare affect… Read more
Understanding T-Cell Responses: Coupling Single Cell Sequencing with Advanced Immunoinformatics Characterising T-cell responses at high resolution is essential for advancing immuno-oncology, infectious disease research and cell therapy development. Single cell RNA and T-cell receptor (TCR)… Read more
Single Cell Symposium TU Munich 2026 Thank you for joining us at the Single Cell Symposium at the Technical University of Munich, whether you tuned in online or traveled to meet… Read more
B2B-RARE Bench to Bedside: Understanding and Personalizing Treatment for Rare Neuromuscular Diseases In the European Union alone, around 36 million people live with a rare disease. And that number sounds almost contradictory. How can something rare affect… Read more