Author

Cristina P. Martin-Linares

Johns Hopkins UniversityORCID 0000-0002-7589-012XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

Aswathy Peethambaran MallikaiD· 1 shared Dhanav HandaiD· 1 shared Genevieve Stein-O’BrieniD· 1 shared Jonathan Ling· 1 shared Jonathan P. LingiD· 1 shared Meaghan MorrisiD· 1 shared Parker S. SandaliD· 1 shared Philip C. WongiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 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

Aswathy Peethambaran MallikaORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Fine-tuning genomic models on rare splicing events identifies a novel biomarker of TDP-43 pathology

Cristina P. Martin-Linares, Aswathy Peethambaran Mallika, Parker S. Sandal, Tyler Martin, Meaghan Morris, Philip C. Wong, Jonathan P. Ling

bioRxiv · Oct 9, 2026 · PreprintGenomics

Evaluating the ability of spatial transcriptomics foundation models to learn multi-scale spatial variation

Dhanav Handa, Cristina P. Martin-Linares, Genevieve Stein-O’Brien, Jonathan Ling, Uthsav Chitra

This study evaluates spatial transcriptomics foundation models' ability to capture multi-scale spatial variation using SAFFRON, finding that one model better captures global gradients but not local patterns.

bioRxiv · Aug 6, 2026 · PreprintBioinformatics