I was running OS/2 on a 386SX, it was a DOS neural network program that I don't remember the name of at all, it was hardcoded for backprop networks.
I was attempting to see if I could identify coding vs. non-coding regions of DNA. Unfortunately, it was no better than a coin flip when all was said and done.
Yowza - that's an unfortunate finding for a training run that lasted weeks. That'll keep me a bit more humble when I get grumpy or impatient about deep learning runs that take an hour or two.
Doing bioinformatics in the early 90s must be have been a pretty interesting experience! Was this kind of analytics/computation role your core role or just a side interest? What was the data and computational power availability?
That was for the term project in a grad level Neural Network class, not a job. The computational power was my own PC, so rather limited :D. The data was the sequences from a few genes tagged as intron or exon, as even back then you could download sequences from GenBank.
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I was running OS/2 on a 386SX, it was a DOS neural network program that I don't remember the name of at all, it was hardcoded for backprop networks.
I was attempting to see if I could identify coding vs. non-coding regions of DNA. Unfortunately, it was no better than a coin flip when all was said and done.
Yowza - that's an unfortunate finding for a training run that lasted weeks. That'll keep me a bit more humble when I get grumpy or impatient about deep learning runs that take an hour or two.
Doing bioinformatics in the early 90s must be have been a pretty interesting experience! Was this kind of analytics/computation role your core role or just a side interest? What was the data and computational power availability?
That was for the term project in a grad level Neural Network class, not a job. The computational power was my own PC, so rather limited :D. The data was the sequences from a few genes tagged as intron or exon, as even back then you could download sequences from GenBank.