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MALBoost: a web-based application for gene regulatory network analysis in Plasmodium falciparum.

Roelof van WykRiëtte van BiljonLyn-Marie Birkholtz
Published in: Malaria journal (2021)
The MALBoost application provides the first tool for easy interfacing and efficiently allows gene regulatory network construction for Plasmodium. Additionally, access is provided to a pre-compiled network for use as reference framework. Validation for sexually committed ring-stage parasite targets of AP2-G, suggests the algorithm was effective in resolving "traditionally" low-level signatures even in bulk RNA datasets.
Keyphrases
  • plasmodium falciparum
  • network analysis
  • machine learning
  • transcription factor
  • deep learning
  • genome wide
  • rna seq
  • single cell