Author

Joe Paggi

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Andrew Lamb· 1 shared Irving Hsu· 1 shared Kevin TianiD· 1 shared Pierre-Louis Cedoz· 1 shared Prasad Kawthekar· 1 shared

Activity by Year

2017-2017 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperGenomics

Andrew Lamb

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Predicting Transcriptional Regulatory Activities with Deep Convolutional Networks

Joe Paggi, Andrew Lamb, Kevin Tian, Irving Hsu, Pierre-Louis Cedoz, Prasad Kawthekar

The paper trains a multitask convolutional neural network on MPRA data to predict transcriptional regulatory activity across cell types and promoters, finding that importance scores correlate with conservation and transcription factor binding.

bioRxiv · Jan 12, 2017 · PreprintGenomics