Resolving tissue complexity by multimodal spatial omics modeling with MISO
Cedars-Sinai Medical Center · Cancer Research And Biostatistics · +14 more institutions
Indexed incrossrefpubmed
Abstract
No abstract available for this paper.
Citation impact
52
total citations
- FWCI
- 32.04
- Percentile
- 100%
- References
- 42
Citations per year
Authors
28- KCKyle ColemanCorresponding
Cedars-Sinai Medical Center, Cancer Research And Biostatistics, University of Pennsylvania
- ASAmelia Schroeder
University of Pennsylvania
- MLMelanie Loth
University of Pennsylvania
- DZDaiwei Zhang
University of Pennsylvania
- JHJeong Hwan Park
Seoul National University, Seoul Metropolitan Government, SNUH SMG-SNU Boramae Medical Center
Topics & keywords
Topics
Keywords
- Omics
- Computational biology
- Computer science
- Biology
- Bioinformatics
No related works found for this paper.
Funding
- UDU.S. Department of DefenseAward: CA190578
- SVSilicon Valley Community Foundation
- UOUniversity of PennsylvaniaAward: P30-DK19525
- LILudwig Institute for Cancer Research
- ASAndrew Sabin Family Foundation
- BTBreak Through Cancer
- NINational Institutes of HealthAwards: U24CA274274, R01EY030192, U19NS135582, U01CA294518, U01CA264583, CA016672, CA269489, R01LM014592, DK19525, P30 CA016672, R01CA266280, R01HL171595, P30-DK19525
- UOUniversity of Texas MD Anderson Cancer CenterAwards: CA016672, P30 CA016672
- NCNational Cancer InstituteAwards: P30 CA016672, CA016672, R01CA266280, R01CA276690, U24CA274274, R01 CA282282, U01CA264583, R01 CA254988-01A1
- CFCenter for Information TechnologyAwards: U24CA274274, K99NS135123, R01CA282282, R01CA269489, R01CA276690, R01CA266280, R01CA254988, U01CA264583