Which of the following is untrue about Prediction Using Neural Networks for Gene Prediction?(a) A neural network is constructed with multiple layers; the input, output, and hidden layers(b) The input is the gene sequence with intron and exon signals(c) The model is not fed with a sequence of known gene structure(d) The output is the probability of an exon structureThe question was posed to me in an online quiz.My question is from Gene Prediction in Eukaryotes topic in section Gene and Promoter Prediction of Bioinformatics

Which of the following is untrue about Prediction Using Neural Network

1.	Which of the following is untrue about Prediction Using Neural Networks for Gene Prediction?(a) A neural network is constructed with multiple layers; the input, output, and hidden layers(b) The input is the gene sequence with intron and exon signals(c) The model is not fed with a sequence of known gene structure(d) The output is the probability of an exon structureThe question was posed to me in an online quiz.My question is from Gene Prediction in Eukaryotes topic in section Gene and Promoter Prediction of Bioinformatics
Answer» Correct choice is (c) The model is not fed with a SEQUENCE of known gene structure To explain: 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.

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