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A review of soft computing techniques for gene prediction
In the past decade, various genomes have been sequenced in both plants and animals. The
falling cost of genome sequencing manifests a great impact on the research community with …
falling cost of genome sequencing manifests a great impact on the research community with …
An overview of the use of neural networks for data mining tasks
In the recent years, the area of data mining has been experiencing considerable demand for
technologies that extract knowledge from large and complex data sources. There has been …
technologies that extract knowledge from large and complex data sources. There has been …
RNA secondary structure prediction using soft computing
Prediction of RNA structure is invaluable in creating new drugs and understanding genetic
diseases. Several deterministic algorithms and soft computing-based techniques have been …
diseases. Several deterministic algorithms and soft computing-based techniques have been …
A comparative analysis of soft computing techniques for gene prediction
The rapid growth of genomic sequence data for both human and nonhuman species has
made analyzing these sequences, especially predicting genes in them, very important and is …
made analyzing these sequences, especially predicting genes in them, very important and is …
Applications of diffusion maps in gene expression data-based cancer diagnosis analysis
Early detection of a tumor's site of origin is particularly important for cancer diagnosis and
treatment. The employment of gene expression profiles for different cancer types or subtypes …
treatment. The employment of gene expression profiles for different cancer types or subtypes …
[ספר][B] Granular neural networks, pattern recognition and bioinformatics
SK Pal, SS Ray, A Ganivada - 2017 - Springer
The volume “Granular Neural Networks, Pattern Recognition and Bioinformatics” is an
outcome of the granular computing research initiated in 2005 at the Center for Soft …
outcome of the granular computing research initiated in 2005 at the Center for Soft …
Classifying patterns in bioinformatics databases by using Alpha-Beta associative memories
One of the most important genomic tasks is the identification of promoters and splice-
junction zone, which are essential on deciding whether there is a gene or not in a genome …
junction zone, which are essential on deciding whether there is a gene or not in a genome …
Computational theory perception (CTP), rough-fuzzy uncertainty analysis and mining in bioinformatics and web intelligence: a unified framework
The concept of computational theory of perceptions (CTP), its characteristics and the relation
with fuzzy-granulation (f-granulation) are explained. Role of f-granulation in machine and …
with fuzzy-granulation (f-granulation) are explained. Role of f-granulation in machine and …
[ספר][B] Knowledge discovery and data mining
S Bandyopadhyay, U Maulik, LB Holder, DJ Cook… - 2005 - Springer
Knowledge discovery and data mining has recently emerged as an important research
direction for extracting useful information from vast repositories of data of various types. This …
direction for extracting useful information from vast repositories of data of various types. This …
Predicting the performance of container terminal operations using artificial neural networks
With high average quay crane (QC) rate generally associated with short vessel turnaround
times and minimum operations delays, the QC rate is often adopted as the performance …
times and minimum operations delays, the QC rate is often adopted as the performance …