Seeking and Finding Clones in Copy Number and Sequencing Data

Fetch and Explore the Cornell Lab of Ornithology Open Tree of
Life Avian Phylogeny
R package clootl version 0.1.2

Composite Likelihood Inference and Diagnostics for Replicated
Spatial Ordinal Data
R package clordr version 1.7.0

Integrate Single-Arm Observational Data in Network Meta Analysis

Streamlined Interface to Interact with Cloud Storage Platforms

Interface to the Google Cloud Machine Learning Platform

Compute Price of Production and Labor Values

Curve Linear Regression via Dimension Reduction

Clinical and Laboratory Standards Institute (CLSI) EP15-A3
Calculations

Central Limit Theorem Experiments (Theoretical and Simulation)

Classification Using Binary Procrustes Rotation

Cluster-Robust (Sandwich) Variance Estimators with Small-Sample
Corrections

Multidimensional Cluster Generation Using Support Lines

Bootstrap a Clustering Solution to Establish the Stability of
the Clusters

A Procedure for Cluster Evolution Analytics

Simultaneous Semi-Parametric Estimation of Clustering and
Regression

ROC Analysis in Three-Class Classification Problems for
Clustered Data

Simultaneous Detection of Clusters and Cluster-Specific Genes in
High-Throughput Transcriptome Data
R package ClussCluster version 0.1.0

Statistical Methods for Analyzing Clustered Matched Pair Data

Identifying Similar T Cell Receptor Hyper-Variable Sequences
with 'ClusTCR2'

Clusters of Effects Curves in Quantile Regression Models

"Finding Groups in Data": Cluster Analysis Extended Rousseeuw et
al.

R package cluster.datasets version 1.0-1

Performs Tests for Cluster Tendency of a Data Set
R package clusterability version 0.2.1.0

Analyze Clustered Data using the Cluster Bootstrap
R package ClusterBootstrap version 2.0.0

Location and Visualization of Clustered Somatic Mutations
R package ClusteredMutations version 1.0.2

Random Cluster Generation (with Specified Degree of Separation)
R package clusterGeneration version 1.3.8

Sparse Gaussian Graphical Modeling with Variable Clustering

One-Step to Cluster and Visualize Gene Expression Data