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  Browse All Reviews > Computer Applications (J) > Life And Medical Sciences (J.3) > Biology And Genetics (J.3...)  
 
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  1-10 of 442 Reviews about "Biology And Genetics (J.3...)": Date Reviewed
  Statistical analysis of proteomics, metabolomics, and lipidomics data using mass spectrometry
Datta S., Mertens B.,  Springer International Publishing, New York, NY, 2016. 295 pp. Type: Book (978-3-319458-07-6)

This is a collection of technical papers dedicated to mass spectrometric data processing. Mass spectrometry is becoming a standard of studying structures and features of biomolecules in the genomic era. The ultimate goal is to fully investigate bi...

Jan 17 2018
  Space-time computing with temporal neural networks
Smith J.,  Morgan & Claypool Publishers, San Rafael, CA, 2017. 242 pp. Type: Book (978-1-627059-48-0)

Experiments by DeepMind playing Go to beat humans have put neural networks into common news threads. These algorithms are being used for image and speech analysis, and they have shown a lot of promise in predicting and automating some systems in e...

Dec 27 2017
  Protein fold recognition based on sparse representation based classification
 Artificial Intelligence in Medicine 79 1-8, 2017. Type: Article

It is not reasonable to expect the sequence of amino acids to predict folding because many proteins with similar foldings have quite different sequences. To address this issue, this paper describes how sparse representation classification (SRC) ca...

Dec 18 2017
  A deep convolutional neural network model to classify heartbeats
Acharya U., Oh S., Hagiwara Y., Tan J., Adam M., Gertych A., Tan R.  Computers in Biology and Medicine 89 389-396, 2017. Type: Article

Deep learning is one of the fastest growing areas of machine learning. With improvements in hardware technology, the use of deep learning algorithms is increasing daily. The emergence of deep learning has also led to the renaissance of neural netw...

Dec 15 2017
  Genetic algorithm for building optimization: state-of-the-art survey
Li T., Shao G., Zuo W., Huang S.  ICMLC 2017 (Proceedings of the 9th International Conference on Machine Learning and Computing, Singapore,  Feb 24-26, 2017) 205-210, 2017. Type: Proceedings

The global demand for energy has increased steadily over the years, raising serious concerns about the exhaustion of energy resources and adverse environmental impacts. Buildings contribute to a significant amount of total energy consumption. Find...

Dec 15 2017
  Decoding the representation of code in the brain: an fMRI study of code review and expertise
Floyd B., Santander T., Weimer W.  ICSE 2017 (Proceedings of the 39th International Conference on Software Engineering, Buenos Aires, Argentina,  May 20-28, 2017) 175-186, 2017. Type: Proceedings

This paper presents an excellent example of an inter-disciplinary study to understand how the human brain processes common software engineering tasks by using medical imaging....

Oct 20 2017
  Computational botany: methods for automated species identification
Remagnino P., Mayo S., Wilkin P., Cope J., Kirkup D.,  Springer International Publishing, New York, NY, 2016. 114 pp. Type: Book (978-3-662537-43-5)

A multidisciplinary domain that indirectly supports information technology (IT) and botanic areas--image analysis modeling and the associated algorithms for implementing automatic systems for plant species identification--is addressed in...

Sep 20 2017
  Machine learning paradigms: artificial immune systems and their applications in software personalization
Sotiropoulos D., Tsihrintzis G.,  Springer International Publishing, New York, NY, 2016. 327 pp. Type: Book (978-3-319471-92-1)

Machine learning paradigms is an excellent introduction to both immunology from a computer scientist point of view and to algorithms designed and inspired by the biological immune system....

Jul 25 2017
  Big data analytics in genomics
Wong K.,  Springer International Publishing, New York, NY, 2016. 428 pp. Type: Book (978-3-319412-78-8)

The discovery of the DNA molecule’s structure and sequence underlines the importance of its diverse functions within living organisms. The problem is analogous to, but much more complicated than, reverse-engineering abstract data types imple...

Jul 10 2017
  The Turing guide
Copeland J., Bowen J., Sprevak M., Wilson R.,  Oxford University Press, New York, NY, 2017.Type: Book (9780198747826 ), Reviews: (2 of 2)

The 42 chapters of this richly illustrated book describe Turing’s life and contributions from different viewpoints and at different abstraction levels. These essays, written for a (more or less) general audience, frequently show that Turing&...

Jul 7 2017
 
 
 
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