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Guest Editorial for the 16th Asia Pacific Bioinformatics Conference

Published on Jan 1, 2019in IEEE/ACM Transactions on Computational Biology and Bioinformatics2.896
· DOI :10.1109/TCBB.2018.2856940
Yoshihiro Yamanishi29
Estimated H-index: 29
(Kyushu Institute of Technology),
Yasubumi Sakakibara29
Estimated H-index: 29
(Keio: Keio University),
Yangjun Chen30
Estimated H-index: 30
(La Trobe University)
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Abstract
The eight papers in this special section were presented at the 16th Asia Pacific Bioinformatics Conference (APBC2018), which was held in Yokohama, Japan, 15-17 January 2018. The aim of this conference is to provide an international forum for researchers, professionals, and industrial practitioners to share their knowledge and ideas of how to surf the tidal wave of information in the area of bioinformatics and computational biology.
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#1S. Sakthi (Chettinad College of Engineering and Technology)
#2P. Balasubramanie (Kongu Engineering College)
Micro calcification in mammograms may be considered early signs of breast cancer. However, their detection by a variety of factors is a very challenging task to find cancer in an instant starting stage. A breast compression, more difficult breast anatomy, and in some cases, inaccessible size calculations, as well as the significant variation of low contrast, inherent to mammograms. Therefore a computerized image processing scheme is implemented for detecting early-stage Microcalcification in mam...
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#1Tanmoy Bhattacharya (LANL: Los Alamos National Laboratory)H-Index: 51
#2Thomas BrettinH-Index: 45
Last. George F. ZakiH-Index: 7
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The application of data science in cancer research has been boosted by major advances in three primary areas: 1) Data: diversity, amount, and availability of biomedical data; 2) Advances in Artificial Intelligence (AI) and Machine Learning (ML) algorithms that enable learning from complex, large-scale data; and 3) Advances in computer architectures allowing unprecedented acceleration of simulation and machine learning algorithms. These advances help build in silico ML models that can provide tra...
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