Volume 17 (2023)
Volume 16 (2022)
Volume 15 (2021)
Volume 14 (2020)
Volume 13 (2019)
Volume 12 (2018)
Volume 11 (2017)
Volume 10 (2016)
Volume 9 (2015)
Volume 8 (2014)
Volume 7 (2013)
Volume 6 (2012)
Volume 5 (2011)
Volume 4 (2010)
Volume 3 (2009)
Volume 2 (2008)
Volume 1 (2007)
Volume -2 (2005)
Volume -1 (2004)
Bioinformatics / Biomedical Informatics / Medical Informatics / Health Informatics
Dimensionality Reduction of Binding Site Sequence Data on Human Genome Using a Deep Autoencoder Neural Network

Hossein Bankikoshki; Seyed Ali Seyyedsalehi; Fatemeh Zare Mirakabad

Volume 11, Issue 3 , September 2017, , Pages 219-230

  The use of genomic nucleotide sequences as biochemical signals in machine learning methods is possible by converting these sequences into numerical codes. This conversion results in an unrealistic increase in the dimension of the data and encounters some data analysis operations such as visualization ...  Read More

Bioinformatics / Biomedical Informatics / Medical Informatics / Health Informatics
Application of Fuzzy Evidential Network as Low Birth Weight Prognosis Model

Amin Janghorbani; Mohammad Hasan Moradi

Volume 10, Issue 3 , October 2016, , Pages 197-209

  Babies are born under 2,500 g., defined as low birth weight (LBW) babies. They are exposed to the higher risks of mortality, congenital malformations, mental retardation, and other physical and neurological impairments. 15.5 % of births around the world are LBW. Reduction of the rate of LBW births to ...  Read More

Bioinformatics / Biomedical Informatics / Medical Informatics / Health Informatics
The Predictor Set Inference in Gene Regulatory Network Using Gravitational Search Algorithm and Mean Conditional Entropy Fitness Measure

Mina Jafari; Behnam Ghavami; Vahid Sattari Naeini

Volume 9, Issue 4 , February 2015, , Pages 375-386

  The inference of Gene Regulatory Network (GRN) using gene expression data is significantly important in order to understand gene dependencies, regulatory functions among genes, biological processes, way of process occurrence and avoiding some unplanned processes (disease). The accurate inference of GRN ...  Read More

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Investigating the Brain Causal and Instantaneous Relations Using Information Theory

Ali Khadem; Gholam Ali Hossein-Zadeh

Volume 6, Issue 1 , June 2012, , Pages 57-69

  Exploring the causal (delayed) brain relations is an important topic in the Neuroscience. The traditional estimators of brain causal (delayed) relations are mainly model-based and put restrictive assumptions on the brain dynamics. In the recent years, some nonparametric measures have been introduced ...  Read More