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Poster Presentations
Day 4, June 25（Wed.）
Room P (Maesato East, Foyer, Ocean Wing)
- 4P-PM-18
Biologically Informative NA Deconvolution (BIND) promotes excavation of unique proteins and protein-protein interactions from proteomics datasets
(CityUHK)
oWeiheng Guo, Liang Zhang
As fast-advancing mass spectrometry greatly extends the scale and depth of proteomic investigations, it is increasingly complex to handle missing values (often presented as “not available" or “NA"). Technical issues can lead to false negative “NA" that can be corrected by data imputation methods. In contrast, many “NA" values are results of no/low expression, which is an integral feature of proteomic organization but is challenging to characterize in various biological contexts. Here, we provide a platform called Biologically Informative NA Deconvolution (BIND) for delineating “NA" values in proteomic datasets. BIND consists of three modules, with the first performing statistical analysis and visualization of missing value patterns in the dataset, the second part delineating the nature of missing values, and the third part conducting missing value-assisted protein interactions analysis. Importantly, BIND emphasizes exploring the biological significance of missing values, rather than treating them as a burden for data analysis. The user-friendly web server was also developed, providing a comprehensive analysis flow and interactive results visualization, without any programming process. Taken together, BIND is an efficient and informative tool for delineating and exploiting NA values in proteomic investigations. It is expected to accelerate the discovery of biomarkers and signaling complexes in human diseases.