TY - JOUR AU - Shen, Rex AU - Luo, Lan AU - Jiang, Hui PY - 2017 DA - 2017/11/03 TI - Identification of gene pairs through penalized regression subject to constraints JO - BMC Bioinformatics SP - 466 VL - 18 IS - 1 AB - This article concerns the identification of gene pairs or combinations of gene pairs associated with biological phenotype or clinical outcome, allowing for building predictive models that are not only robust to normalization but also easily validated and measured by qPCR techniques. However, given a small number of biological samples yet a large number of genes, this problem suffers from the difficulty of high computational complexity and imposes challenges to the accuracy of identification statistically. SN - 1471-2105 UR - https://doi.org/10.1186/s12859-017-1872-9 DO - 10.1186/s12859-017-1872-9 ID - Shen2017 ER -