Derek W Craig, Timothy J Walker, Paula Cuccaro, Shreela V Sharma, Natalia I Heredia, Michael C Robertson, Maria E Fernandez
Using the R = MC2 heuristic to understand barriers to and facilitators of implementing school-based physical activity opportunities: a qualitative study
BMC public health
dna sequencing quantum tunneling technique heralds paradigm shift genetic analysis promising rapid accurate identification diverging applications ranging personalized medicine security issues however widespread distribution molecular conductance conduction orbital alignment resonant transport decoding crisscrossing conductance signals isomorphic nucleotides persistent experimental hurdles swift precise identification herein reported machine learning mldriven quantum tunneling study solidstate model nanogap determine nucleotides singlebase resolution optimized ml basecaller demonstrated high predictive basecalling accuracy four nucleotides seven distinct data pools containing complex transmission readouts different dynamic conformations ml classification quaternary ternary binary nucleotide combinations also performed high precision sensitivity f1 score ml explainability unravels evidence extracted normalized features within overlapped nucleotide signals contribute classification improvement moreover electronic fingerprints conductance sensitivity current readout analysis nucleotides promised practical applicability significant sensitivity distinguishability ml approach study pushes boundaries quantum sequencing highlighting effectiveness single nucleotide basecalling promising implications advancing genomics molecular diagnostics