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This is what I found from doing some research. Comments are welcome at any point! Capture percentage for data gathering: Transcriptomics Data: There's an amplification step in Transcriptomics data gathering methods. Hence, it's possible to capture almost the totality of the Transcriptome using those methods(scRNA seq methods, Nanopore tech, Spatial ...


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I think you are making PSSMs out to be much more sophisticated than they really are. A PSSM is merely a scoring matrix — it gives position specific scores for each residue at a given location. There is no explicit pairing of interacting residues though that does sound like an interesting approach ... You can learn more about PSSMs from many sources on ...


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I am assuming that in your model, the reactants and products (species) are metabolites and each reaction denotes conversion of one metabolite to another. From transcriptomics, you will get the relative expression levels of different genes. When you have two samples from different conditions you can calculate the differential expression. A model can be ...


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