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Genomic Signal Processing 2010

  1. Authors: Ulisses Braga-Neto, Rui Kuang, Harri Lähdesmäki, Haris Vikalo and Byung-Jun Yoon
    Citation: EURASIP Journal on Advances in Signal Processing 2011 2010:137263
  2. We introduce a generalized-clique hidden Markov model (HMM) and apply it to gene finding in eukaryotes (C. elegans). We demonstrate a HMM structure identification platform that is novel and robustly-performing in...

    Authors: Stephen Winters-Hilt and Carl Baribault
    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:581373
  3. We describe a new method to introduce duration into an HMM using side information that can be put in the form of a martingale series. Our method makes use of ratios of duration cumulant probabilities in a mann...

    Authors: S. Winters-Hilt, Z. Jiang and C. Baribault
    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:761360
  4. Application of ensemble classification rules in genomics and proteomics has become increasingly common. However, the problem of error estimation for these classification rules, particularly for bagging under t...

    Authors: T. T. Vu and U. M. Braga-Neto
    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:548906
  5. Background. Revealing protein-DNA interactions is a key problem in understanding transcriptional regulation at mechanistic level. Computational methods have an important role in predicting transcription factor ta...

    Authors: Xiaofeng Dai, Olli Yli-Harja and Harri Lähdesmäki
    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:235795
  6. DNA microarrays detect the presence and quantify the amounts of nucleic acid molecules of interest. They rely on a chemical attraction between the target molecules and their Watson-Crick complements, which ser...

    Authors: Haris Vikalo and Mahsuni Gokdemir
    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:736301
  7. The coefficient of determination (CoD) has significant applications in genomics, for example, in the inference of gene regulatory networks. We study several CoD estimators, based upon the resubstitution, leave...

    Authors: Ting Chen and Ulisses Braga-Neto
    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:487893
  8. The problem of uncovering transcriptional regulation by transcription factors (TFs) based on microarray data is considered. A novel Bayesian sparse correlated rectified factor model (BSCRFM) is proposed that m...

    Authors: Jia Meng, Jianqiu(Michelle) Zhang, Yuan(Alan) Qi, Yidong Chen and Yufei Huang
    Citation: EURASIP Journal on Advances in Signal Processing 2010 2010:538919