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clustering of SLP vs clustering of SST

Both phrases are correct, but the choice between 'clustering of slp' and 'clustering of sst' depends on the context and the specific terms being referred to. 'Clustering of slp' would typically refer to the clustering of speech-language pathology-related data, while 'clustering of sst' would refer to the clustering of sea surface temperature data.

Last updated: March 17, 2024 • 634 views

clustering of SLP

This phrase is correct and commonly used in the context of clustering speech-language pathology-related data.

This phrase is used when referring to the process of grouping or categorizing data related to speech-language pathology for analysis or research purposes.
  • Mol Cell Biol. 2006 Mar;26(5):1826-38. Disruption of SLP-76 interaction with Gads inhibits dynamic clustering of SLP-76 and FcepsilonRI signaling in mast cells.
  • Disruption of SLP-76 Interaction with Gads Inhibits Dynamic Clustering of SLP-76 and FcɛRI Signaling in Mast Cells. Michael A. Silverman, Jonathan Shoag, ...
  • Mar 17, 2010 ... Following TCR engagement, T cells from these mice show decreased Ca2+ flux and Erk activation accompanied by weak clustering of SLP-76.
  • Jun 1, 2010 ... 2), suggesting that. SLP-76 cluster formation itself may not be needed for ZAP-70 clustering. The impaired clustering of SLP-76 4KE is therefore.

clustering of SST

This phrase is correct and commonly used in the context of clustering sea surface temperature data.

This phrase is used when referring to the process of grouping or categorizing sea surface temperature data for analysis or research purposes.
  • Figure 6: Clustering of SST+ interneurons in the cerebral cortex. From Lineage- specific laminar organization of cortical GABAergic interneurons. Gabriele Ciceri,  ...
  • GA-Clustering of SST data with respect to precipitation variations. Case study. To analyze the efficiency of the model, case study of Sistan & Baluchestan.
  • Nov 13, 2010 ... In this study, new approaches are presented for temporal clustering of SST data using genetic algorithm (GA) and K-means clustering methods.
  • Figure 4 shows the clusters produced by shared nearest neighbor (SNN) clustering of SST for the period 1982-2007 [11]. Many pairs of clusters in this clustering ...

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