Journals in DBLP

IEEE/ACM Trans. Comput. Biology Bioinform.
2005, volume: 2, number: 3

1. Charles X. Ling, William Stafford Noble, Qiang Yang
   Guest Editor's Introduction to the Special Issue: Machine Learning for Bioinformatics-Part 2. [Citation Graph (0, 0)][DBLP]
   IEEE/ACM Trans. Comput. Biology Bioinform., 2005, v:2, n:3, pp:177-178 [Journal]
   
2. Alexander Schliep, Ivan G. Costa, Christine Steinhoff, Alexander Schönhuth
   Analyzing Gene Expression Time-Courses. [Citation Graph (0, 0)][DBLP]
   IEEE/ACM Trans. Comput. Biology Bioinform., 2005, v:2, n:3, pp:179-193 [Journal]
   
3. Anshul Kundaje, Manuel Middendorf, Feng Gao, Chris Wiggins, Christina S. Leslie
   Combining Sequence and Time Series Expression Data to Learn Transcriptional Modules. [Citation Graph (0, 0)][DBLP]
   IEEE/ACM Trans. Comput. Biology Bioinform., 2005, v:2, n:3, pp:194-202 [Journal]
   
4. Samuel Kaski, Janne Nikkilä, Janne Sinkkonen, Leo Lahti, Juha E. A. Knuuttila, Christophe Roos
   Associative Clustering for Exploring Dependencies between Functional Genomics Data Sets. [Citation Graph (0, 0)][DBLP]
   IEEE/ACM Trans. Comput. Biology Bioinform., 2005, v:2, n:3, pp:203-216 [Journal]
   
5. Jingfen Zhang, Wen Gao, Jinjin Cai, Simin He, Rong Zeng, Runsheng Chen
   Predicting Molecular Formulas of Fragment Ions with Isotope Patterns in Tandem Mass Spectra. [Citation Graph (0, 0)][DBLP]
   IEEE/ACM Trans. Comput. Biology Bioinform., 2005, v:2, n:3, pp:217-230 [Journal]
   
6. Ed Keedwell, Ajit Narayanan
   Discovering Gene Networks with a Neural-Genetic Hybrid. [Citation Graph (0, 0)][DBLP]
   IEEE/ACM Trans. Comput. Biology Bioinform., 2005, v:2, n:3, pp:231-242 [Journal]
   
7. John Hawkins, Mikael Bodén
   The Applicability of Recurrent Neural Networks for Biological Sequence Analysis. [Citation Graph (0, 0)][DBLP]
   IEEE/ACM Trans. Comput. Biology Bioinform., 2005, v:2, n:3, pp:243-253 [Journal]
   
8. Mikael Gustafsson, Michael Hornquist, Anna Lombardi
   Constructing and Analyzing a Large-Scale Gene-to-Gene Regulatory Network-Lasso-Constrained Inference and Biological Validation. [Citation Graph (0, 0)][DBLP]
   IEEE/ACM Trans. Comput. Biology Bioinform., 2005, v:2, n:3, pp:254-261 [Journal]
   
9. Cigdem Demir, S. Humayun Gultekin, Bülent Yener
   Learning the Topological Properties of Brain Tumors. [Citation Graph (0, 0)][DBLP]
   IEEE/ACM Trans. Comput. Biology Bioinform., 2005, v:2, n:3, pp:262-270 [Journal]