Journal: IEEE Signal Process. Mag.

Volume 24, Issue 1

2 -- 0Shih-Fu Chang. Learn how to learn [From the Editor]
18 -- 26Plhillip Stafford, Yildong Chen. Expression technology - A review of the performance and interpretation of expression microarrays
27 -- 36Xiaodong Cai, Xiaodong Wang. Stochastic modeling and simulation of gene networks - A review of the state-of-the-art research on stochastic simulations
37 -- 46Rul 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 -- 53Gergely Korodi, Ioan Tabus, Jorma Rissanen, Jaakko Astola. DNA sequence compression - Based on the normalized maximum likelihood model
54 -- 63Anirulddlha 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 -- 74Byung-Jun Yoon, P. P. Vaidyanathan. Computational identification and analysis of noncoding RNAs - Unearthing the buried treasures in the genorne
75 -- 82Shih-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 -- 90Michel 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 -- 99Ulisses 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 -- 110Peng 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 -- 121Jie 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 -- 125James V. Candy, David S. Clague, Joseph W. Tringe. A Model-Based Processor Design for Smart Microsensor Arrays [Applications Corner]
126 -- 129Tianming Liu. A Quantitative Zebrafish Phenotyping Tool for Developmental Biology and Disease Modeling [Life Sciences]
130 -- 133Eliathamby Ambikairajah, Julien Epps, Ming Sheng, Branko G. Celler. Tablet PC and Electronic Whiteboard Use in Signal Processing Education [DSP Education]
134 -- 136Pierre Moulin. Signal Transmission with Known-Interference Cancellation [Lecture Notes]
137 -- 139Greg Berchin. Precise Filter Design [DSP Tips & Tricks]