SM: code Computational Biology
Gene Set Enrichment Methods:
GSEA: Gene Set Enrichment Analysis
ASSESS: Analysis of Sample Set Enrichment ScoreS
GSAA: Gene Set Association Analysis
cERMIT: Evidence-Ranked Motif IdenTification
Statistical and quantitative genetics:
MAPIT: MApping ePIstaTic QTL
WHODAD: Paternity Inference from Low-Coverage Sequencing Data
FastPCA: Inference of Population Structure for Massive Genotype Data
BFR-G: Inference of Additive Genetic Covariance (G) Matrix for High-dimensional Trait Data
Metagenomics:
HOMINID: Associatiing OTUs to Host Genotypes
PhILR: Compositional Analysis of Metagenomic Data
Radiogenomics:
SECT: Predicting Disease Outcome from Imaging and Genomic Data
Geometric morphometrics:
Auto3DGM: Automated Alignment of 3D Shapes


Learning and Inference
SIGP: Subspace Induced Gaussian Processes
SynCut: Learning Group Actions from Data
BAKR: Bayesian Kernel Regression with Variable Selection
MoS: Learning Mixture of Subspaces of Different Dimensions
MELD: Fast Moment Estimation for Generalized Latent Dirichlet Models
ARSVD: Adaptive Randomized SVD
PFR: Predictor-Dependent Shrinkage for Linear Regression
KSIR: Nonlinear Supervised Dimension Reduction using Kernels
LSIR: Localized Nonlinear Supervised Dimension Reduction
BMI: Localized Supervised Dimension Reduction using Bayesian Mixture Models


Computational Music
Classical Music Composition Using State Space Models