Fixed-parameter algorithms for graph-modeled data clustering / F. Hüffner, R. Niedemeier and S. Wernicke -- Probabilistic distance clustering : algorithm and applications / C. Iyigun and A. Ben-Israel -- Analysis of regulatory and interaction networks from clusters of co-expressed genes / E. Yang [and others] -- Graph-based approaches for motif discovery / E. Zaslavsky -- Statistical clustering analysis : an introduction / H. Zhang -- Diversity graphs / P. Blain [and others] -- Identifying critical nodes in protein-protein interaction networks / V. Boginski and C.W. Commander -- Faster algorithms for constructing a concept (Galois) lattice / V. Choi -- A projected clustering algorithm and its biomedical application / P. Deng, Q. Ma and W. Wu -- Graph algorithms for integrated biological analysis, with applications to Type 1 diabetes data / J.D. Eblen [and others] -- A novel similarity-based modularity function for graph partitioning / Z. Feng [and others] -- Mechanism-based clustering of genome-wide RNA levels : roles of transcription and transcript-degradation rates / S. Ji [and others] -- The complexity of feature selection for consistent biclustering / O.E. Kundakcioglu and P.M. Pardalos -- Clustering electroencephalogram recordings to study mesial temporal lobe epilepsy / C.-C. Liu [and others] -- Relating subjective and objective pharmacovigilance association measures / R.K. Pearson -- A novel clustering approach : global optimum search with enhanced positioning / M.P. Tan and C.A. Floudas
Summary
This text offers introductory knowledge of a wide range of clustering and other quantitative techniques used to solve biological problems
