UCSD Scientists Use Machine Learning to Discover Gene Activation Sequences by Debbie L. Sklar • Times of San Diego Sept. 9, 2020, 11:24 a.m. Jan. 19, 2021, 7:55 p.m. Share this: ...

In order to gain a broader understanding of how acidic transcription activators function, Dr. Ariel Erijman, a former postdoc in the Hahn lab, conducted a high-throughput screen for transcription ...

A novel computational framework was constructed to screen the M2 macrophage-activation genes (MAGens) for developing MAGens signature by integratively analyzing the transcriptomes data of single-cell, ...