Jia Li

Jia Li

4 packages on CRAN

HDclust

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Clustering of high dimensional data with Hidden Markov Model on Variable Blocks (HMM-VB) fitted via Baum-Welch algorithm. Clustering is performed by the Modal Baum-Welch algorithm (MBW), which finds modes of the density function. Lin Lin and Jia Li (2017) <http://jmlr.org/papers/v18/16-342.html>.

EILA

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Implementation of Efficient Inference of Local Ancestry using fused quantile regression and k-means classifier

MetaDE

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MetaDE package implements 12 major meta-analysis methods for differential expression analysis.

OTclust

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Providing mean partition for ensemble clustering by optimal transport alignment(OTA), uncertainty measures for both partition-wise and cluster-wise assessment and multiple visualization functions to show uncertainty, for instance, membership heat map and plot of covering point set. A partition refers to an overall clustering result.