Michael Sekula
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View article: Variability associated with maxillary infrazygomatic crest and palatal bone width, height, and angulation in subjects with different vertical facial growth types: a retrospective cone-beam computed tomography study
Variability associated with maxillary infrazygomatic crest and palatal bone width, height, and angulation in subjects with different vertical facial growth types: a retrospective cone-beam computed tomography study Open
Objectives To assess the infrazygomatic crest (IZC) and palatal bone width, height, and angulation in patients with different vertical facial growth types as potential miniscrew insertion sites. Materials and Methods In this retrospective …
View article: Effect of educational intervention on computer‐aided‐design and computer‐aided‐manufacturing technology to preclinical dental students
Effect of educational intervention on computer‐aided‐design and computer‐aided‐manufacturing technology to preclinical dental students Open
Introduction This study evaluated the effectiveness of a video presentation instruction compared to the prevailing traditional lecture provided in the preclinical classroom when introducing computer‐aided design/computer‐aided manufacturin…
View article: Filtered back projection vs. iterative reconstruction for CBCT: effects on image noise and processing time
Filtered back projection vs. iterative reconstruction for CBCT: effects on image noise and processing time Open
Objectives: To assess the effect of standard filtered back projection (FBP) and iterative reconstruction (IR) methods on CBCT image noise and processing time (PT), acquired with various acquisition parameters with and without metal artefac…
View article: Inferring Cell–Cell Communications from Spatially Resolved Transcriptomics Data Using a Bayesian Tweedie Model
Inferring Cell–Cell Communications from Spatially Resolved Transcriptomics Data Using a Bayesian Tweedie Model Open
Cellular communication through biochemical signaling is fundamental to every biological activity. Investigating cell signaling diffusions across cell types can further help understand biological mechanisms. In recent years, this has become…
View article: Single-Cell Differential Network Analysis with Sparse Bayesian Factor Models
Single-Cell Differential Network Analysis with Sparse Bayesian Factor Models Open
Differential network analysis plays an important role in learning how gene interactions change under different biological conditions, and the high resolution of single-cell RNA (scRNA-seq) sequencing provides new opportunities to explore t…
View article: Novel Bayesian methodology for the analysis of single-cell RNA sequencing data.
Novel Bayesian methodology for the analysis of single-cell RNA sequencing data. Open
With single-cell RNA sequencing (scRNA-seq) technology, researchers are able to gain a better understanding of health and disease through the analysis of gene expression data at the cellular-level; however, scRNA-seq data tend to have high…
View article: Additional file 2 of A sparse Bayesian factor model for the construction of gene co-expression networks from single-cell RNA sequencing count data
Additional file 2 of A sparse Bayesian factor model for the construction of gene co-expression networks from single-cell RNA sequencing count data Open
Additional file 2 Excel file containing lists of gene names and significant GO terms from the real data analyses.
View article: optCluster: An R Package for Determining the Optimal Clustering Algorithm
optCluster: An R Package for Determining the Optimal Clustering Algorithm Open
This package is available for free through the Comprehensive R Archive Network (CRAN) at http://cran.rproject.org/web/packages/optCluster/.
View article: OptCluster : an R package for determining the optimal clustering algorithm and optimal number of clusters.
OptCluster : an R package for determining the optimal clustering algorithm and optimal number of clusters. Open
Determining the best clustering algorithm and ideal number of clusters for a particular dataset is a fundamental difficulty in unsupervised clustering analysis. In biological research, data generated from Next Generation Sequencing technol…