Recall, though, that better data often beats better algorithms, and designing good features goes a long way. And if you have a huge dataset, your choice of classification algorithm might not really matter so much in terms of classification performance (so choose your algorithm based on speed or...
the need for high-quality reference data, and the steep learning curve associated with some of the advanced tools and techniques. This report aims to provide a detailed review of the current spatial transcriptomics algorithms, highlighting their advantages and disadvantages, and exploring future perspect...