CFdb: feature tables

This upload contains features that were used to derive interactomes based on meta-analysis of co-fractionation mass spectrometry (CF-MS) data. Features reflect the similarity of any two proteins' elution profiles in a given CF-MS experiment. They were provided as input to machine-learning models trained in cross-validation on known protein complexes. Feature tables are provided here (1) to enable re-analysis of this data and (2) to enhance the analysis of future individual datasets by transfer learning. Each .tar file contains feature tables for a given organism. In these tables, each row represents a unique protein pair and each column represents the value of that feature in a given CF-MS experiment. The top-five best-performing features identified in our previous meta-analysis (doi: 10.1038/s41592-021-01194-4) are pre-calculated for each organism, including the distance correlation, weighted cross-correlation, cosine similarity, mutual information, and Pearson correlation. Each feature was calculated using the optimal chromatogram preprocessing strategies identified in our previous meta-analysis. Feature tables are provided for the following organisms: Anabaena sp. PCC 7120 Arabidopsis thaliana Brassica oleracea Caenorhabditis elegans Chaetomium thermophilum Chlamydomonas reinhardtii Cyanothece ATCC 51142 Dictyostelium discoideum Drosophila melanogaster Escherichia coli Glycine max Gossypium hirsutum Homo sapiens Kuenenia stuttgartiensis Mus musculus Nematostella vectensis Oryza sativa Plasmodium berghei Plasmodium falciparum Plasmodium knowlesi Podospora anserina Rattus norvegicus Saccharomyces cerevisiae Salmonella typhimurium SL1344 Selaginella moellendorffii Solanum lycopersicum Strongylocentrotus purpuratus Synechocystis sp. PCC 6803 Triticum aestivum Trypanosoma brucei Xenopus laevis Zea mays