International Workshop on Applications of Machine Learning and Signal Processing in Biomedical Informatics and Computational Genomics (AMLSP-BCG 2018)
in conjunction with
IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2018)
in conjunction with
IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2018)
Availability of genomic, proteomic and transcriptomic (which for simplicity we call them omics) data, improvements in computational systems and advent of big-data analytics have created an opportunity to address many important questions in biology, genomics and medicine. However, high dimensionality, heterogeneity, multimodality, noisiness, incompleteness, and inter-dependency of omics data hinder their analyses. The benefit of employing advanced signal processing, and machine learning (recently deep learning) techniques to tackle the above challenges has been proven in other fields. However, relatively limited applications of these techniques have been made in bioinformatics and computational genomics, where there are many challenging tasks that can be done using these techniques. Also, there are many open problems in signal processing and machine learning that need to be solved for effective use in bioinformatics and computational genomics. This workshop aims to provide a forum for academic and industrial researchers to exchange research ideas/designs and share research findings to promote the development or refining of signal processing and machine learning methods for bioinformatics and computational genomics.
Sept 30, Oct 15, Oct 20, 2018: Due date for full workshop papers submission
Oct 27, 2018: Notification of paper acceptance to authors
Nov 15, 2018: Camera-ready of accepted papers
Dec 3-6, 2018: Workshops
Please submit a full length paper (up to 6 page IEEE 2-column format) through the online submission system here. Please follow the IEEE conference paper format.
Please note that at least one author of an accepted paper needs to register in order to have the paper published in the proceedings. Registration of BIBM 2018 is available at http://orienta.ugr.es/bibm2018/registration.html.
Sheida Nabavi, University of Connecticut
Kayvan Najarian, University of Michigan
Sardar Ansari, University of Michigan, USA
Alan Boyle, University of Michigan, USA
Harm Derksen, University of Michigan, USA
Iman Hajirasouliha, Well Cornell Medicine, USA
Amin Zollanvari, Nazarbayev University, Kazakhstan