There is a new data set floating around: proterna_vae64lat

It has been made by "crossing", using machine learning techniques, two different datasets collected from human tissues: protein and RNA expression levels. More (scientific) information will follow.

There will be just a small set of workunits available, at least at the beginning. You may recognize them from the workunit's name containing the string "Hs_PRT-genename". This kind of workunit should be very fast to compute (around half an hour on a decent computer).

Please let me know if you notice something strange with them.

The Genotype-Tissue Expression (GTEx) project is an ongoing effort to build a public resource of tissue-specific human gene expression. The Enhancing GTEx (eGTEx) project extends the GTEx project to combine gene expression with additional molecular measurements on the same tissues. Within the eGTEx project, protein and RNA expression levels in 32 normal human tissues from 14 individuals were obtained by quantitative mass spectrometry and RNA sequencing, respectively. The original dataset was downloaded from https://www.gtexportal.org/home/datasets. Data on protein and RNA levels for approximately 12000 genes were integrated with an approach based on a variational autoencoder, obtaining a latent representation composed of 64 variables.
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I just inserted in the queue 51 genes (51*18 workunits) related to leukemia (see https://omim.org/), to be "expanded" within the proterna_vae64lat dataset.

Unfortunately the eGTEx dataset does not currently contain samples from bones or skin, therefore our first analyses will be focused on genes responsible for neurodegenerative diseases and hematologic malignancies.