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  1. Research

    On biometric systems: electrocardiogram Gaussianity and data synthesis

    Electrocardiogram is a slow signal to acquire, and it is prone to noise. It can be inconvenient to collect large number of ECG heartbeats in order to train a reliable biometric system; hence, this issue might ...

    Wael Louis, Shahad Abdulnour, Sahar Javaher Haghighi and Dimitrios Hatzinakos

    EURASIP Journal on Bioinformatics and Systems Biology 2017 2017:5

    Published on: 21 February 2017

  2. Research

    Reverse engineering gene regulatory networks from measurement with missing values

    Gene expression time series data are usually in the form of high-dimensional arrays. Unfortunately, the data may sometimes contain missing values: for either the expression values of some genes at some time po...

    Oyetunji E. Ogundijo, Abdulkadir Elmas and Xiaodong Wang

    EURASIP Journal on Bioinformatics and Systems Biology 2017 2017:2

    Published on: 10 January 2017

  3. Research

    Graph reconstruction using covariance-based methods

    Methods based on correlation and partial correlation are today employed in the reconstruction of a statistical interaction graph from high-throughput omics data. These dedicated methods work well even for the ...

    Nurgazy Sulaimanov and Heinz Koeppl

    EURASIP Journal on Bioinformatics and Systems Biology 2016 2016:19

    Published on: 23 November 2016

  4. Research

    Towards organizing health knowledge on community-based health services

    Online community-based health services accumulate a huge amount of unstructured health question answering (QA) records at a continuously increasing pace. The ability to organize these health QA records has bee...

    Mohammad Akbari, Xia Hu, Liqiang Nie and Tat-Seng Chua

    EURASIP Journal on Bioinformatics and Systems Biology 2016 2016:18

    Published on: 17 November 2016

  5. Research

    Stochastic convex sparse principal component analysis

    Principal component analysis (PCA) is a dimensionality reduction and data analysis tool commonly used in many areas. The main idea of PCA is to represent high-dimensional data with a few representative compone...

    Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain and Jiayu Zhou

    EURASIP Journal on Bioinformatics and Systems Biology 2016 2016:15

    Published on: 9 September 2016

  6. Research

    Machine learning to predict rapid progression of carotid atherosclerosis in patients with impaired glucose tolerance

    Prediabetes is a major epidemic and is associated with adverse cardio-cerebrovascular outcomes. Early identification of patients who will develop rapid progression of atherosclerosis could be beneficial for im...

    Xia Hu, Peter D. Reaven, Aramesh Saremi, Ninghao Liu, Mohammad Ali Abbasi, Huan Liu and Raymond Q. Migrino

    EURASIP Journal on Bioinformatics and Systems Biology 2016 2016:14

    Published on: 5 September 2016

  7. Research

    Detecting Visually Observable Disease Symptoms from Faces

    Recent years have witnessed an increasing interest in the application of machine learning to clinical informatics and healthcare systems. A significant amount of research has been done on healthcare systems ba...

    Kuan Wang and Jiebo Luo

    EURASIP Journal on Bioinformatics and Systems Biology 2016 2016:13

    Published on: 31 August 2016

  8. Research

    A new method to detect event-related potentials based on Pearson’s correlation

    Event-related potentials (ERPs) are widely used in brain-computer interface applications and in neuroscience.  Normal EEG activity is rich in background noise, and therefore, in order to detect ERPs, it is usu...

    William Giroldini, Luciano Pederzoli, Marco Bilucaglia, Simone Melloni and Patrizio Tressoldi

    EURASIP Journal on Bioinformatics and Systems Biology 2016 2016:11

    Published on: 7 June 2016

  9. Research

    The prediction of virus mutation using neural networks and rough set techniques

    Viral evolution remains to be a main obstacle in the effectiveness of antiviral treatments. The ability to predict this evolution will help in the early detection of drug-resistant strains and will potentially...

    Mostafa A. Salama, Aboul Ella Hassanien and Ahmad Mostafa

    EURASIP Journal on Bioinformatics and Systems Biology 2016 2016:10

    Published on: 13 May 2016

  10. Research

    shRNA target prediction informed by comprehensive enquiry (SPICE): a supporting system for high-throughput screening of shRNA library

    RNA interference (RNAi) screening is extensively used in the field of reverse genetics. RNAi libraries constructed using random oligonucleotides have made this technology affordable. However, the new methodolo...

    Kenta Kamatuka, Masahiro Hattori and Tomoyasu Sugiyama

    EURASIP Journal on Bioinformatics and Systems Biology 2016 2016:7

    Published on: 19 February 2016

  11. Research

    Gene expression analysis supports tumor threshold over 2.0 cm for T-category breast cancer

    Tumor size, as indicated by the T-category, is known as a strong prognostic indicator for breast cancer. It is common practice to distinguish the T1 and T2 groups at a tumor size of 2.0 cm. We investigated the...

    Hiroko K. Solvang, Arnoldo Frigessi, Fateme Kaveh, Margit L. H. Riis, Torben Lüders, Ida R. K. Bukholm, Vessela N. Kristensen and Bettina K. Andreassen

    EURASIP Journal on Bioinformatics and Systems Biology 2016 2016:6

    Published on: 8 February 2016

  12. Research

    Bayesian module identification from multiple noisy networks

    Module identification has been studied extensively in order to gain deeper understanding of complex systems, such as social networks as well as biological networks. Modules are often defined as groups of verti...

    Siamak Zamani Dadaneh and Xiaoning Qian

    EURASIP Journal on Bioinformatics and Systems Biology 2016 2016:5

    Published on: 5 February 2016

  13. Research

    Precise periodic components estimation for chronobiological signals through Bayesian Inference with sparsity enforcing prior

    The toxicity and efficacy of more than 30 anticancer agents present very high variations, depending on the dosing time. Therefore, the biologists studying the circadian rhythm require a very precise method for...

    Mircea Dumitru, Ali Mohammad-Djafari and Simona Baghai Sain

    EURASIP Journal on Bioinformatics and Systems Biology 2016 2016:3

    Published on: 20 January 2016

  14. Research

    Bayesian estimation of the discrete coefficient of determination

    The discrete coefficient of determination (CoD) measures the nonlinear interaction between discrete predictor and target variables and has had far-reaching applications in Genomic Signal Processing. Previous w...

    Ting Chen and Ulisses M. Braga-Neto

    EURASIP Journal on Bioinformatics and Systems Biology 2016 2016:1

    Published on: 15 January 2016

  15. Research

    Identification of Th1/Th2 regulatory switch to promote healing response during leishmaniasis: a computational approach

    Leishmania devices its survival strategy by suppressing the host’s immune functions. The antigen molecules produced by Leishmania interferes with the host’s cell signaling cascades and co...

    Piyali Ganguli, Saikat Chowdhury, Shomeek Chowdhury and Ram Rup Sarkar

    EURASIP Journal on Bioinformatics and Systems Biology 2015 2015:13

    Published on: 1 December 2015

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