2 | -- | 0 | Shih-Fu Chang. Learn how to learn [From the Editor] |
18 | -- | 26 | Plhillip Stafford, Yildong Chen. Expression technology - A review of the performance and interpretation of expression microarrays |
27 | -- | 36 | Xiaodong Cai, Xiaodong Wang. Stochastic modeling and simulation of gene networks - A review of the state-of-the-art research on stochastic simulations |
37 | -- | 46 | Rul Yamaguchi, Ryo Yoshida, Seiya Imoto, Tomoyuki Higuchi, Satoru Miyano. Finding module-based gene networks with state-space models - Mining high-dimensional and short time-course gene expression data |
47 | -- | 53 | Gergely Korodi, Ioan Tabus, Jorma Rissanen, Jaakko Astola. DNA sequence compression - Based on the normalized maximum likelihood model |
54 | -- | 63 | Anirulddlha Datta, Ranadip Pal, Ashish Choudhary, Edward R. Dougherty. Control approaches for probabilistic gene regulatory networks - What approaches have been developed for addreassinig the issue of intervention? |
64 | -- | 74 | Byung-Jun Yoon, P. P. Vaidyanathan. Computational identification and analysis of noncoding RNAs - Unearthing the buried treasures in the genorne |
75 | -- | 82 | Shih-Chieh Su, C. C. Jay Kuo, Ting Chen. Single nucleotide polymorphism data analysis - State-of-the-art review on this emerging field from a signal processing viewpoint |
83 | -- | 90 | Michel Sarkis, Bernhard Goebel, Zaher Dawy, Joachim Hagenauer, Pavol Hanus, Jacob C. Mueller. Gene mapping of complex diseases - A comparison of methods from statistics informnation theory, and signal processing |
91 | -- | 99 | Ulisses Braga-Neto. Fads and fallacies in the name of small-sample microarray classification - A highlight of misunderstanding and erroneous usage in the applications of genomic signal processing |
100 | -- | 110 | Peng Qiu, Z. Jane Wang, K. J. Ray Liu. Genomic processing for cancer classification and prediction - Abroad review of the recent advances in model-based genomoric and proteomic signal processing for cancer detection |
111 | -- | 121 | Jie Chen, Stephen T. C. Wang. Nanotechnology for genomic signal processing in cancer research - A focus on the genomic signal processing hardware design of the nanotools for cancer ressearch |
122 | -- | 125 | James V. Candy, David S. Clague, Joseph W. Tringe. A Model-Based Processor Design for Smart Microsensor Arrays [Applications Corner] |
126 | -- | 129 | Tianming Liu. A Quantitative Zebrafish Phenotyping Tool for Developmental Biology and Disease Modeling [Life Sciences] |
130 | -- | 133 | Eliathamby Ambikairajah, Julien Epps, Ming Sheng, Branko G. Celler. Tablet PC and Electronic Whiteboard Use in Signal Processing Education [DSP Education] |
134 | -- | 136 | Pierre Moulin. Signal Transmission with Known-Interference Cancellation [Lecture Notes] |
137 | -- | 139 | Greg Berchin. Precise Filter Design [DSP Tips & Tricks] |