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Differentially expressed genes selection via Laplacian regularized low-rank representation method.

, , , , and . Computational Biology and Chemistry, (2016)

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Research on registration algorithm of pyramid edge., , and . ICDIP, volume 8878 of SPIE Proceedings, page 887844. SPIE, (2013)A Mixed-Norm Laplacian Regularized Low-Rank Representation Method for Tumor Samples Clustering., , , , , and . IEEE/ACM Trans. Comput. Biology Bioinform., 16 (1): 172-182 (2019)Efficient Influence Maximization in Weighted Independent Cascade Model., , and . CoRR, (2015)Low-rank representation regularized by L2, 1-norm for identifying differentially expressed genes., , , , and . BIBM, page 626-629. IEEE Computer Society, (2017)On Incremental Deployment of Named Data Networking in Local Area Networks., , , , , , , and . ANCS, page 82-94. IEEE Computer Society, (2017)Towards an accurate and efficient heuristic for species/gene tree co-estimation., and . Bioinformatics, 34 (17): i697-i705 (2018)Differentially expressed genes selection via Truncated Nuclear Norm Regularization., , , , , and . BIBM, page 1851-1855. IEEE, (2016)Towards Energy-Efficient Caching in Content-Centric Networking., , , , , and . JCM, 11 (12): 1036-1047 (2016)A Robust Feature Point Matching Method for Dynamic Aerial Image Registration., , , and . PAAP, page 144-147. IEEE Computer Society, (2014)Characteristic gene selection via L2, 1-norm Sparse Principal Component Analysis., , , , , and . BIBM, page 1828-1833. IEEE, (2016)