Structured Input-output Lasso
Structured Input-output Lasso is a novel regularization scheme over multitask regression , which allows shared sparsity patterns for related inputs and outputs to be optimally estimated. Such patterns capture multiple related single nucleotide polymorphisms (SNPs) that jointly influence multiple-related expression traits.
the SAILING lab (the Laboratory of Statistical Artificial InteLligence and INtegrative Genomics)
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Seunghak Lee and Eric P. Xing
Leveraging Input and Output Structures For Joint Mapping of Epistatic and Marginal eQTLs
Bioinformatics (2012) 28 (12): i137-i146.