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MetroNome - a visual data exploration platform for integrating human genotypic and phenotypic data across diseases

Stolte, C.; Shi, K.; Lapchyk, N.; Novod, N.; Abhyankar, A.; Ostrow, L. W.; Phatnani, H.; Bloom, T.

2019-09-14 bioinformatics
10.1101/769646 bioRxiv
Show abstract

MetroNome is a web-based visual data exploration platform which integrates de-identified genomic, transcriptomic, and phenotypic data sets. Users can define and compare cohorts constructed from multimodal data and share the data and analyses with outside tools. MetroNomes interactive visualization and analysis tools allow researchers to quickly form and explore novel hypotheses. The deidentified data is linked back to the source biosample inventories in multiple biobanks, enabling researchers to further investigate new ideas using the most relevant samples.

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.