BulkRNABert: Cancer prognosis from bulk RNA-seq based language models
Maxence Gélard,
Guillaume Richard,
Thomas Pierrot
et al.
Abstract:RNA sequencing (RNA-seq) has become a key technology in precision medicine, especially for cancer prognosis. However, the high dimensionality of such data may restrict classic statistical methods, thus raising the need to learn dense representations from them. Transformers models have exhibited capacities in providing representations for long sequences and thus are well suited for transcriptomics data. In this paper, we develop a pre-trained transformer-based language model through self-supervised learning usi… Show more
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