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  Browse All Reviews > Computer Applications (J) > Life And Medical Sciences (J.3) > Biology And Genetics (J.3...)  
  1-10 of 463 Reviews about "Biology And Genetics (J.3...)": Date Reviewed
  Genetic programming theory and practice XIV
Riolo R., Worzel B., Goldman B., Tozier B.,  Springer International Publishing, New York, NY, 2018. 227 pp. Type: Book (978-3-319970-87-5)

This book, part of Springer’s “Genetic and Evolutionary Computation” series, contains the proceedings of the “14th meeting of the annual Genetic Programming Theory and Practice Workshop, [held] by the Center for the Study o...

Nov 12 2020
  Advances in Physarum machines: sensing and computing with slime mould
Adamatzky A.,  Springer International Publishing, New York, NY, 2016. 839 pp. Type: Book (978-3-319266-61-9), Reviews: (2 of 2)

The idea of computing with deoxyribonucleic acid (DNA) molecules first received attention in 1987, from the mathematician Tom Head [1]. In 1994, in a seminal paper [2], Adleman solved an instance of a Hamiltonian path problem using DNA in a wet la...

Mar 13 2020
  Integer linear programming in computational and systems biology: an entry-level text and course
Gusfield D.,  Cambridge University Press, New York, NY, 2019. 428 pp. Type: Book (978-1-108421-76-8)

Integer linear programming (ILP) is an optimization method that depends on the satisfaction of a set of linear equality or inequality relationships and has solutions with integer (rather than continuous) values. An important application area of IL...

Dec 2 2019
  Scalable big data analytics for protein bioinformatics: efficient computational solutions for protein structures
Mrozek D.,  Springer International Publishing, New York, NY, 2018. 315 pp. Type: Book (978-3-319988-38-2)

High-performance computing (HPC) refers to the use of large computational resources for solving computationally hard and data-intensive problems. Big data refers to “the exponential growth ... of data, both structured and unstructured.”...

Jun 6 2019
  Euclidean distance geometry: an introduction
Liberti L., Lavor C.,  Springer International Publishing, New York, NY, 2017. 133 pp. Type: Book (978-3-319607-91-7)

If someone has a set of objects whose positions are known, calculating the distances between them is not a problem. However, the inverse problem is difficult, that is, given a set of distances between objects, determine their positions. Unfortunat...

May 14 2019
  Introductory biostatistics (2nd ed.)
Le C., Eberly L.,  Wiley Publishing, Hoboken, NJ, 2016. 616 pp. Type: Book (978-0-470905-40-1)

Le and Eberly’s Introductory biostatistics is in fact more than introductory. Not only do the authors painstakingly clarify the fundamentals of the topic, but they also provide sufficient material for an advanced undergraduate or post...

Apr 19 2019
  Regularized non-negative matrix factorization for identifying differentially expressed genes and clustering samples: a survey
Liu J., Wang D., Gao Y., Zheng C., Xu Y., Yu J.  IEEE/ACM Transactions on Computational Biology and Bioinformatics 15(3): 974-987, 2018. Type: Article

This paper surveys the application of non-negative matrix factorization (NMF), a well-known dimensionality reduction technique in bioinformatics “for identifying differentially expressed genes and clustering samples.”...

Apr 5 2019
  A brave new world of genetic engineering
Greengard S.  Communications of the ACM 62(2): 11-13, 2019. Type: Article

While CRISPR, Gene Knockout Kit (GKO), and cryo-electron microscopy (Cryo-EM) may be acronyms unknown to the larger computer science (CS) community, they are well known in genetic engineering research. Software and hardware are extending and chang...

Apr 1 2019
  Deep learning for biometrics
Bhanu B., Kumar A.,  Springer International Publishing, New York, NY, 2017. 312 pp. Type: Book (978-3-319616-56-8)

Identity management using biometrics--a fascinating research area--adds another dimension when coupled with deep learning techniques. Deep learning for biometrics, organized into four parts, highlights new possibilities within the...

Feb 8 2019
  Computational phylogenetics: an introduction to designing methods for phylogeny estimation
Warnow T.,  Cambridge University Press, New York, NY, 2018. 394 pp. Type: Book (978-1-107184-71-8)

Evolutionary biology broadly covers phylogeny or the phylogenetic tree, representing the relationships among individuals or groups of organisms. Specifically, computational phylogenetics deals with the implementation of computational methods and a...

Nov 14 2018
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