Feb. 26, 2024, 5:44 p.m. | /u/Primary-Wasabi292

Machine Learning www.reddit.com

I am currently trying to generate embeddings I have of a heterogeneous datasource I am working with. The problem is, that for every sample, I have a varying amount of input features. For the ones interested, the problem is biological. In particular I am trying to calculate a gene-level representation of this data and for every gene I have a different number of variants, with each variant having one feature value associated to it.

My solution to homogenise these features …

decoder embeddings encoder encoder-decoder every features gene generate machinelearning question representation sample transformer transformer encoder

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