no examples of "unreasonable effectiveness" or even "effectiveness" are given; just a semi-plausible technique and some questions that might be worth answering. I hope the term doesn't get diluted with more examples like this.
also not clear why a 2D local representation is being used for 1D data. there is no meaning to the ordering of the rows (different individuals who represent the samples in the genome), so it doesn't make much sense to encode that into the image. I would presume that not much meaning comes from neighboring mutations that are separated by a long string of no mutations, so the in-row locality should be broken into chunks. Neither of these basic considerations is motivated in the text either.
I would guess there is no effectiveness of CNN at all on this data set and a different statistical technique should be used on this data set...
also not clear why a 2D local representation is being used for 1D data. there is no meaning to the ordering of the rows (different individuals who represent the samples in the genome), so it doesn't make much sense to encode that into the image. I would presume that not much meaning comes from neighboring mutations that are separated by a long string of no mutations, so the in-row locality should be broken into chunks. Neither of these basic considerations is motivated in the text either.
I would guess there is no effectiveness of CNN at all on this data set and a different statistical technique should be used on this data set...