Volume 21 Supplement 1

Selected articles from the 8th IEEE International Conference on Computational Advances in Bio and medical Sciences (ICCABS 2018): bioinformatics

Research

Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. IM was co-author on two papers in the supplement but was not involved with the peer review process of these two papers. No other competing interests were declared.

Las Vegas, NV, USA18-20 October 2018

Conference website

Edited by Ananth Kalyanaraman, Yoo-Ah Kim, Ion Mandoiu, Sanguthevar Rajasekaran, Pavel Skums and Alex Zelikovsky.

Linear space string correction algorithm using the Damerau-Levenshtein distance

The Damerau-Levenshtein (DL) distance metric has been widely used in the biological science. It tries to identify the similar region of DNA,RNA and protein sequences by transforming one sequence to the another...

Authors: Chunchun Zhao and Sartaj Sahni

Citation: BMC Bioinformatics 2020 21(Suppl 1):4

Content type: Research Published on: 9 December 2020
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So you think you can PLS-DA?

Partial Least-Squares Discriminant Analysis (PLS-DA) is a popular machine learning tool that is gaining increasing attention as a useful feature selector and classifier. In an effort to understand its strength...

Authors: Daniel Ruiz-Perez, Haibin Guan, Purnima Madhivanan, Kalai Mathee and Giri Narasimhan

Citation: BMC Bioinformatics 2020 21(Suppl 1):2

Content type: Research Published on: 9 December 2020
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Decoy selection for protein structure prediction via extreme gradient boosting and ranking

Identifying one or more biologically-active/native decoys from millions of non-native decoys is one of the major challenges in computational structural biology. The extreme lack of balance in positive and nega...

Authors: Nasrin Akhter, Gopinath Chennupati, Hristo Djidjev and Amarda Shehu

Citation: BMC Bioinformatics 2020 21(Suppl 1):189

Content type: Research Published on: 9 December 2020
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Convolutional neural network for automated mass segmentation in mammography

Automatic segmentation and localization of lesions in mammogram (MG) images are challenging even with employing advanced methods such as deep learning (DL) methods. We developed a new model based on the archit...

Authors: Dina Abdelhafiz, Jinbo Bi, Reda Ammar, Clifford Yang and Sheida Nabavi

Citation: BMC Bioinformatics 2020 21(Suppl 1):192

Content type: Methodology Published on: 9 December 2020
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gpps: an ILP-based approach for inferring cancer progression with mutation losses from single cell data

Cancer progression reconstruction is an important development stemming from the phylogenetics field. In this context, the reconstruction of the phylogeny representing the evolutionary history presents some pec...

Authors: Simone Ciccolella, Mauricio Soto Gomez, Murray D. Patterson, Gianluca Della Vedova, Iman Hajirasouliha and Paola Bonizzoni

Citation: BMC Bioinformatics 2020 21(Suppl 1):413

Content type: Research Published on: 9 December 2020
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Selected articles from the 8th IEEE International Conference on Computational Advances in Bio and medical Sciences (ICCABS 2018): bioinformatics

Research

Linear space string correction algorithm using the Damerau-Levenshtein distance

So you think you can PLS-DA?

Decoy selection for protein structure prediction via extreme gradient boosting and ranking

Convolutional neural network for automated mass segmentation in mammography

gpps: an ILP-based approach for inferring cancer progression with mutation losses from single cell data

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