Author

Krista M. Pullen

Massachusetts Institute of TechnologyORCID 0000-0002-4857-8907Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Douglas A. LauffenburgeriD· 2 shared Avlant NilssoniD· 1 shared Charlotte Jewell ReamesiD· 1 shared Christopher M. SassettiiD· 1 shared Daniel Y. ZhuiD· 1 shared Nikolaos MeimetisiD· 1 shared Ryan FinethyiD· 1 shared Sara MagliacaneiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersSystems Biology

Douglas A. LauffenburgerORCID

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2 papers

Recent·Most cited

Cross species modeling reveals a role for the unfolded protein response in shaping the transcriptional reaction to Mycobacterium tuberculosis infection

Krista M. Pullen, Ryan Finethy, Seung-Hyun B Ko, Charlotte Jewell Reames, Christopher M. Sassetti, Douglas A. Lauffenburger

The paper uses cross-species modeling to identify the unfolded protein response as a key factor in the transcriptional response to Mycobacterium tuberculosis infection.

bioRxiv · Apr 19, 2024 · PreprintSystems Biology

Autoencoder Model for Translating Omics Signatures

Nikolaos Meimetis, Krista M. Pullen, Daniel Y. Zhu, Avlant Nilsson, Trong Nghia Hoang, Sara Magliacane, Douglas A. Lauffenburger

The paper develops AutoTransOP, an autoencoder framework to translate omics signatures across species and contexts, outperforming existing methods in identifying predictive molecular features.

npj Systems Biology and Applications · Jan 29, 2024Peer-reviewedBioinformatics