We have been developing computational analysis methods and algorithms to decipher complex interrelationships of tumor cells, immune cells, and microbiome, and complexity of tumor genomic data (whole exome sequencing and RNA transcriptomic sequencing).
Our new computational algorithm termed “Tumor Immune Partitioning and Clustering (TIPC)” is available at bioRxiv.
This is another paper that used machine learning algorithm to decipher immune cells in routine H&E-stained histopathological sections.