A versatile information retrieval framework for evaluating profile strength and similarity
Abstract Large-scale profiling assays capture a cell population’s state by measuring thousands of biological properties per cell or sample. However, evaluating profile strength and similarity remains challenging due to the high dimensionality and non-linear, heterogeneous nature of measurements. Her...
Saved in:
| Main Authors: | Alexandr A. Kalinin, John Arevalo, Erik Serrano, Loan Vulliard, Hillary Tsang, Michael Bornholdt, Alán F. Muñoz, Suganya Sivagurunathan, Bartek Rajwa, Anne E. Carpenter, Gregory P. Way, Shantanu Singh |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-60306-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhanced-Similarity Attention Fusion for Unsupervised Cross-Modal Hashing Retrieval
by: Mingyong Li, et al.
Published: (2025-01-01) -
LLM-Based Information Retrieval for Disease Detection Using Semantic Similarity
by: Muhammad Adrinta Abdurrazzaq, et al.
Published: (2025-04-01) -
Image Similarity Quantum Algorithm and Its Application in Image Retrieval Systems
by: Qingchuan Yang, et al.
Published: (2025-01-01) -
Co-occurrence Retrieval: A Flexible Framework for Lexical Distributional Similarity
by: Julie Weeds, et al.
Published: (2021-03-01) -
SAFEGUARDING FOLKLORE: ENGAGING WITH THE ISSUES OF ACCESSIONING, CATALOGUING, DOCUMENTATION, STORAGE AND RETRIEVAL IN INDIAN ARTS
by: Shantanu Majee
Published: (2022-06-01)