Multiclass Molecular Cancer Classification by Kernel Subspace Methods with Effective Kernel Parameter Selection. - Satoshi Niijima; Satoru Kuhara (J. Bioinform. Comput. Biol., 2005)

Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE. - Satoshi Niijima; Satoru Kuhara (BMC Bioinform., 2006)

Gene subset selection in kernel-induced feature space. - Satoshi Niijima; Satoru Kuhara (Pattern Recognit. Lett., 2006)

GLIDA: GPCR - ligand database for chemical genomics drug discovery - database and tools update. - Yasushi Okuno; Akiko Tamon; Hiroaki Yabuuchi; Satoshi Niijima; Yohsuke Minowa; Koichiro Tonomura; Ryo Kunimoto; Chunlai Feng (Nucleic Acids Res., 2008)

Laplacian Linear Discriminant Analysis Approach to Unsupervised Feature Selection. - Satoshi Niijima; Yasushi Okuno (IEEE ACM Trans. Comput. Biol. Bioinform., 2009)

Cross-Target View to Feature Selection: Identification of Molecular Interaction Features in Ligand-Target Space. - Satoshi Niijima; Hiroaki Yabuuchi; Yasushi Okuno (J. Chem. Inf. Model., 2011)

Chemogenomic approach to comprehensive predictions of ligand-target interactions: A comparative study. - J. B. Brown; Satoshi Niijima; Akira Shiraishi; Masahiko Nakatsui; Yasushi Okuno (BIBM Workshops, 2012)

Dissecting Kinase Profiling Data to Predict Activity and Understand Cross-Reactivity of Kinase Inhibitors. - Satoshi Niijima; Akira Shiraishi; Yasushi Okuno (J. Chem. Inf. Model., 2012)

Chemical Genomics Approach for GPCR-Ligand Interaction Prediction and Extraction of Ligand Binding Determinants. - Akira Shiraishi; Satoshi Niijima; J. B. Brown; Masahiko Nakatsui; Yasushi Okuno (J. Chem. Inf. Model., 2013)