Which of the following is untrue about PredictionUsing NeuralNetworks

1.	Which of the following is untrue about PredictionUsing NeuralNetworks for Gene Prediction?
A.	A neural network is a statistical model with a special architecture for pattern recognition and classification
B.	It is composed of a network of mathematical variables
C.	They resembles ab initio approaches
D.	The variables in NeuralNetworks resemble the biological nervous system, with variables or nodes connected by weighted functions that are analogous to synapses
Answer» D. The variables in NeuralNetworks resemble the biological nervous system, with variables or nodes connected by weighted functions that are analogous to synapses

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Which of the following is untrue about Prediction Using Neural Networks for Gene Prediction?
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Which of the following is untrue about PredictionUsing NeuralNetworks for Gene Prediction?
In Ab Initio‚Äö√Ñ√∂‚àö√ë‚àö¬®Based Programs for Gene Prediction‚Äö√Ñ√∂‚àö√ë‚àö¬® Gene content refers to coding statistics, which includes nonrandom nucleotide distribution, amino acid distribution, synonymous codon usage, and hexamer frequencies.$

Which of the following is untrue about PredictionUsing NeuralNetworks for Gene Prediction?

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