A Multi-Domain Multi-Task Approach for Feature Selection from Bulk RNA Datasets

arXiv:2405.02534v1 Announce Type: new
Abstract: In this paper a multi-domain multi-task algorithm for feature selection in bulk RNAseq data is proposed. Two datasets are investigated arising from mouse host immune response to Salmonella infection. Data is collected from several strains of collaborative cross mice. Samples from the spleen and liver serve as the two domains. Several machine learning experiments are conducted and the small subset of discriminative across domains features have been extracted in each case. The algorithm proves viable …

abstract algorithm arxiv bulk collaborative cs.lg data datasets domain feature feature selection infection mouse paper q-bio.gn rna samples type