Author

Shane T. Jensen

University of PennsylvaniaORCID 0000-0003-0945-5725Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Antonio CappuccioiD· 1 shared Benjamin F. VoightiD· 1 shared Benjamin J. AuerbachiD· 1 shared Boris HartmanniD· 1 shared Christopher J AdamsiD· 1 shared Elena ZaslavskyiD· 1 shared Iain MathiesoniD· 1 shared Mitchell ConeryiD· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 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 paperBioinformatics

Antonio CappuccioORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

GenomicsPLoS GeneticsPeer-reviewedJul 7, 2023

Regularized sequence-context mutational trees capture variation in mutation rates across the human genome

Christopher J Adams, Mitchell Conery, Benjamin J. Auerbach…·Benjamin F. Voight

Baymer is a Bayesian hierarchical model that estimates mutation probabilities using sequence context, showing improved accuracy and robustness compared to previous methods.

11 citations

humanwhole-genome sequencing

𝕏 PostBluesky

BioinformaticsbioRxivPreprintOct 3, 2019

Deciphering the combinatorial interaction landscape

Antonio Cappuccio, Shane T. Jensen, Boris Hartmann…·Elena Zaslavsky

The paper introduces SAIL, a machine learning tool to predict and analyze combinatorial stimulus interactions, revealing context-dependent functions and probabilistic algebra of cellular responses.

DOI 10.1101/790543

machine learning (classical)benchmarking

𝕏 PostBluesky