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Which of the following is untrue about Prediction Using Neural Networks for Gene Prediction?

Which of the following is untrue about Prediction Using Neural Networks for Gene Prediction? Correct Answer The model is not fed with a sequence of known gene structure

Between input and output, there may be one or several hidden layers where the machine learning takes place. The machine learning process starts by feeding the model with a sequence of known gene structure. The gene structure information is separated into several classes of features such as hexamer frequencies, splice sites, and GC composition during training. The weight functions in the hidden layers are adjusted during this process to recognize the nucleotide patterns and their relationship with known structures.

Related Questions

Which of the following is true? (i) On average, neural networks have higher computational rates than conventional computers. (ii) Neural networks learn by example. (iii) Neural networks mimic the way the human brain works.
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(i) On average, neural networks have higher computational rates than conventional computers.
(ii) Neural networks learn by example.
(iii) Neural networks mimic the way the human brain works.
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(ii) Neural networks can be simulated on a conventional computer.
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Which of the following statements about gene therapy are correct?
P. Affected individuals, but not their progeny, can be cured through germline gene therapy.
Q. Affected individuals, as well as their progeny, can be cured through germline gene therapy.
R. Affected individuals, but not their progeny, can be cured through somatic gene therapy.
S. Affected individuals, as well as their progeny, can be cured through somatic gene therapy.
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