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BBrowser: Making single-cell data easily accessible

Le, T.; Phan, T.; Pham, M.; Tran, D.; Lam, L.; Nguyen, T.; Truong, T.; Vuong, H.; Luu, T.; Phung, N.; Nguyen, T.; Pham, O.; Nguyen, A.; Nguyen, H.; Tran, H.; Tran, L.; Nguyen, H. A.; Tran, T.; Nguyen, N.; Tran, N.; Boysen, C.; Nguyen, U.; Pham, V.; Theodore, K.; Pham, N.; Gill, T.; Pham, S.

2020-12-11 bioinformatics
10.1101/2020.12.11.414136 bioRxiv
Show abstract

BioTurings BBrowser is a software solution that helps scientists effectively analyze single-cell omics data. It combines big data with big computation and modern data visualization to create a unique platform where scientists can interact and obtain important biological insights from the massive amounts of single-cell data. BBrowser has three main components: a curated single-cell database, a big-data analytics layer, and a data visualization module. BBrowser is available for download at: https://bioturing.com/bbrowser/download.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.