BioData Mining, Volume 1

Volume 1, 2008

• Jesús S. Aguilar-Ruiz, Jason H. Moore, Marylyn D. Ritchie:
  Filling the gap between biology and computer science.
  
• Richard C. McEachin, Benjamin J. Keller, Erika F. H. Saunders, Melvin G. McInnis:
  Modeling gene-by-environment interaction in comorbid depression with alcohol use disorders via an integrated bioinformatics approach.
  
• Alison A. Motsinger-Reif, Marylyn D. Ritchie:
  Neural networks for genetic epidemiology: past, present, and future.
  
• Qicheng Ma, Gung-Wei Chirn, Joseph D. Szustakowski, Adel Bakhtiarova, Penelope A. Kosinski, Daniel M. Kemp, Nanguneri Nirmala:
  Uncovering mechanisms of transcriptional regulations by systematic mining of cis regulatory elements with gene expression profiles.
  
• Haiying Wang, Huiru Zheng, Francisco Azuaje:
  Clustering-based approaches to SAGE data mining.
  
• Rubén Armañanzas, Iñaki Inza, Roberto Santana, Yvan Saeys, Jose Luis Flores, Jose Antonio Lozano, Yves Van de Peer, Rosa Blanco, Víctor Robles, Concha Bielza, Pedro Larrañaga:
  A review of estimation of distribution algorithms in bioinformatics.
  
• Masanori Arita, Kazuhiro Suwa:
  Search extension transforms Wiki into a relational system: A case for flavonoid metabolite database.
  
• Antonio Reverter, Aaron Ingham, Brian P. Dalrymple:
  Mining tissue specificity, gene connectivity and disease association to reveal a set of genes that modify the action of disease causing genes.
  
• Meelis Kull, Jaak Vilo:
  Fast approximate hierarchical clustering using similarity heuristics.
  
• Saravana K. Kumarasamy, Yunshi Wang, Vignesh Viswanathan, Rachel S. Kraut:
  Multivariate profiling of neurodegeneration-associated changes in a subcellular compartment of neurons via image processing.
  
• Kristian Ovaska, Marko Laakso, Sampsa Hautaniemi:
  Fast Gene Ontology based clustering for microarray experiments.
  
• Georgios A. Pavlopoulos, Anna-Lynn Wegener, Reinhard Schneider:
  A survey of visualization tools for biological network analysis.