Cargando…
An Unsupervised kNN Method to Systematically Detect Changes in Protein Localization in High-Throughput Microscopy Images
Despite the importance of characterizing genes that exhibit subcellular localization changes between conditions in proteome-wide imaging experiments, many recent studies still rely upon manual evaluation to assess the results of high-throughput imaging experiments. We describe and demonstrate an uns...
Autores principales: | Lu, Alex Xijie, Moses, Alan M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4956220/ https://www.ncbi.nlm.nih.gov/pubmed/27442431 http://dx.doi.org/10.1371/journal.pone.0158712 |
Ejemplares similares
-
QA-kNN: Indoor Localization Based on Quartile Analysis and the kNN Classifier for Wireless Networks
por: Ferreira, David, et al.
Publicado: (2020) -
GPU-FS-kNN: A Software Tool for Fast and Scalable kNN Computation Using GPUs
por: Arefin, Ahmed Shamsul, et al.
Publicado: (2012) -
Ensemble of a subset of kNN classifiers
por: Gul, Asma, et al.
Publicado: (2016) -
An Enhanced Intrusion Detection Model Based on Improved kNN in WSNs
por: Liu, Gaoyuan, et al.
Publicado: (2022) -
Compressed kNN: K-Nearest Neighbors with Data Compression
por: Salvador–Meneses, Jaime, et al.
Publicado: (2019)