Joseph Zavorskas

The paper demonstrates a method using LSTM networks to generate dynamic omics data, showing it can predict biological responses with few samples and uncovering a paradoxical BrlA response to micafungin.

This paper shows BrlA in Aspergillus nidulans regulates cell-wall stress response independently of conidiation, identifying genes involved in transport and secondary metabolism.

This paper introduces derivative profiling (DP) to identify differentially changing signals in dynamic omics data, showing it is statistically comparable to existing methods and computationally efficient.