Article

MalariaSED: a deep learning framework to decipher the regulatory contributions of noncoding variants in malaria parasites

2022-09-22

Abstract excerpt

Malaria remains one of the deadliest infectious diseases. Transcriptional regulation effects of noncoding variants in this unusual genome of malaria parasites remain elusive. We developed a sequence-based, ab initio deep learning framework, MalariaSED, for predicting chromatin profiles in malaria parasites. The MalariaSED performance was validated by published ChIP-qPCR and TF motifs results. Applying MalariaSED...

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Literature Corpus work: 7e1d8280-bcff-5f92-8b37-77a503bb6a33
DOI: 10.1101/2022.09.21.508539

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