protein sequence training
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hi All :)
i have protein sequences data, then i wanna to train it with neural network backpropagation, but i have a problem with data training.. because,the number of input unit and output unit are different and heterogeneus, how to equalize the number of input unit and output unit?? for example input: HKJMMLLKNJHVHVHCVGVJKLHCVGCGCH output: JMMLL
input: fdsfnhldglsfhldsfhidjgfodjgijidshfjzhnjfndjngvfngidjgxbvfgd output: idjg
there are poeple who suggest to use sliding window, but i'm so confused how to implement it
thx for ur suggestion before :)
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Annette K.
2024-8-16
It would be helpful to visit:MtoZ Biolabs-Mass Spectrometry Analysis Expert (mtoz-biolabs.com)
MtoZ Biolabs is an integrate contract research organization (CRO) providing advanced proteomics, metabolomics, bioinformatics, and biopharmaceutical analysis services to researchers in biochemistry, biotechnology, and biopharmaceutical fields.
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Greg Heath
2012-2-15
In general, the number of elements in the input vector, I, and the number of elements in the corresponding output vector, O, are different.
Decide what the output sequence should be given the corresponding input sequence. Then encode each so that it is a column vector of length I and O, respectively.
Finally form input and output matrices from N i/o pairs to have dimensions
[ I N ] = size(inputmatrix)
[ O N ] = size(outputmatrix)
Hope this helps.
Greg
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lei Xiao
2015-10-29
It is a complex biology process and need professional technology to support you. It would be helpful to visit http://www.creative-proteomics.com/about-us.htm
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