Packages by Kevin R. Coombes

BimodalIndex — 1.1.13

The Bimodality Index

ClassComparison — 3.3.6

Classes and Methods for "Class Comparison" Problems on Microarrays

ClassDiscovery — 3.4.11

Classes and Methods for "Class Discovery" with Microarrays or Proteomics

CloneSeeker — 1.0.17

Seeking and Finding Clones in Copy Number and Sequencing Data

CrossValidate — 2.3.6

Classes and Methods for Cross Validation of "Class Prediction" Algorithms

GenAlgo — 2.2.2

Classes and Methods to Use Genetic Algorithms for Feature Selection

Mercator — 1.1.8

Clustering and Visualizing Distance Matrices

Modeler — 3.4.11

Classes and Methods for Training and Using Binary Prediction Models

NameNeedle — 1.2.11

Using Needleman-Wunsch to Match Sample Names

NewmanOmics — 1.1.4

Extending the Newman Studentized Range Statistic to Transcriptomics

PCDimension — 1.1.15

Finding the Number of Significant Principal Components

Polychrome — 1.6.2

Qualitative Palettes with Many Colors

PreProcess — 3.1.10

Basic Functions for Pre-Processing Microarrays

RCytoGPS — 1.2.14

Using Cytogenetics Data in R

RPointCloud — 0.9.2

Visualizing Topological Loops and Voids

SIBERG — 2.0.5

Systematic Identification of Bimodally Expressed Genes Using RNAseq Data

SVAlignR — 0.10.5

Recovering Structure of Long Molecules from Structural Variation Data

SillyPutty — 0.4.4

Silly Putty Clustering

TailRank — 3.2.6

The Tail-Rank Statistic

Thresher — 1.1.6

Threshing and Reaping for Principal Components

Umpire — 2.0.12

Simulating Realistic Gene Expression and Clinical Data

WayFindR — 0.7.1

Computing Graph Structures on WikiPathways

integIRTy — 1.0.9

Integrating Multiple Modalities of High Throughput Assays Using Item Response Theory

oompaBase — 3.2.12

Class Unions, Matrix Operations, and Color Schemes for OOMPA

oompaData — 3.1.7

Data to Illustrate OOMPA Algorithms

plasma — 1.1.6

Partial LeAst Squares for Multiomic Analysis