π¨ $VXV 9/08 CC Thread π¨
1/ They are working on a protein-to-protein interaction prediction API. This is based on our successful experiment they presented to the NASA GeneLab AWG group. This also includes a protein-to-compound interaction prediction API.π
2/ Theyβre working on the M&A prediction API. Just as one can predict a future relationship or a latent relationship between two proteins, one can do the same thing with public companies, which are a little less complex than human proteins π
3/ Some of their applications, in particular, the protein-to-protein interaction prediction API and the correlation matrix datasets will be showcased by Oracle and Morningstar. π
4/ As far as their marketing objectives. Their major billion-dollar revenue-sharing distribution partners, along with their research & products will speak for them. And this includes a few announcements from Oracle. π
5/ They will also be producing a case study within six weeks, jointly with Oracle. This will include, joint marketing of their protein-to-protein interaction prediction API, in addition to the protein-to-compound interaction prediction API and datasets.π
6/ They also have a major two-part Kaggle competition. The first would be which group can generate the most interesting relationship network with datasets related to space biosciences, and specifically, drug compounds that might be repurposed as solutions π
7/ or serve as countermeasures against diseases associated with stressors during spaceflight. And the second part of a Kaggle competition theyβre designing would be: who can design the most interesting dataset.
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