The core theoretical framework presented is the classification and integration of three distinct scientific reasoning modes: inductive (probabilistic acceptance), deductive (logical necessity/falsification), and abductive (inference to the best explanation). These mechanisms operate within naturalism, seeking systematic explanations for observable phenomena through pattern description, mathematical modeling, or process-driven theoretical analysis. The theory posits that robust bioinformatics practice relies on corroboration rather than strict falsification, utilizing statistical probability to manage uncertainty in biological data while avoiding the pitfalls of big data bias and curve-fitting without causal understanding.
The core theoretical framework presented is the classification and integration of three distinct scientific reasoning modes: inductive (probabilistic acceptance), deductive (logical necessity/falsifi…