Parallelism fix to reduce errors on large datasets like scRNAseq #92
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This fix circumvents pickling errors generated by
gseapy/algorithm.pyline 374, which large datasets (e.g. scRNAseq) are particularly vulnerable to. The gsea tensor computation can generate blocks which are larger than 4 GB, which do not fit in theistruct formatter used by python's build in multiprocessing module.