We give many new examples ranging from the number of exchanges in quicksort to sorting on a broadcast communication model, from an in-situ permutation algorithm to tree traversal algorithms, etc. [References: 76
Changes in occurrence values of microstate features depend on each subject of DTU database and performance. Boxplots represent the first quantile, third quantile, and median values. Full size image Since the clustering algorithm diminishes the complete set of spatial patterns, four methods derived fr...
Recurrence Relations: Recurrence relation is a type of mathematical equation which is defined in terms of itself. Recurrence relation is generally used to model the behavior of an algorithm. By solving recurrence relation one can know about the asymptotic...
To assemble a comprehensive ccRCC tumor microenvironment (TME) atlas, we performed single-cell RNA sequencing (scRNA-seq) of hematopoietic and non-hematopoietic subpopulations from tumor and tumor-adjacent tissue of treatment-naive ccRCC resections. We leveraged the VIPER algorithm to quantitate single-...
This method would iteratively remove less important features than random probes until the impor- tance is assigned for all predictors or the algorithm has reached the previously set number of random forest runs, which is 500 in our simulations. p value was set as 0.01. Random forest (RF) and...
The SOUL algorithm SOUL post-processes distributions of GIST pathway samples to reconstruct the overall landscape. Given thousands of genes, the pathway sample distribution can be multi-modal and some hub genes (i.e., those involved in multiple pathways more often than others) could bias the samp...
learningalgorithm for identifying cell phenotypes, which applies recursive steps of probabilistic clustering and spatial regularization to derive functional phenotypes (FPs) along a continuum. Combining LEAPH with pointwise mutual information and network biology analyses enables the discovery of outcome-...
Although many approaches could be applied here, and probably achieve slightly better results, we have used the Linear Support Vector Machine (LSVM) algorithm. This is a version of the linear discrimination algorithm that finds a hyperplane in high-dimensional space dividing two classes of data. ...
Therefore, developing a novel anomaly detection algorithm with high accuracy, efficiency and generalization is still demanded. As a powerful tool for visualization of the recurrences in two dimensional plots, recurrence plot (RP), can be used to identify recurrent or periodic behaviors from dynamic ...
Szal et al., “Detection of Breast Cancer Recurrence using a Database-Driven Algorithm,” American Society of Clinical Oncology, Abstract No, 1005, 2002. Chen et al. “Cathepsin L2 Levels Inversely Correlate With Skin Color”, Journal of Investigative Dermatology (2006) 126, 2345-2347. ...