MCBI 2015 - 1st Workshop on Matrix Computations for Biomedical Informatics

1st Workshop on Matrix Computations for Biomedical Informatics
To be held in conjunction with 15th Conference on Artificial Intelligence in Medicine (AIME 2015)
June 20th, 2015
Pavia, Italy
https://sites.google.com/site/mcbiworkshop15/
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Important dates
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Paper Submission: April 20th, 2015
Notification of Acceptance: May 15th, 2015
Camera Ready Paper Due: June 1st, 2015
Workshop: June 20th, 2015
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In the last decade, advances in high-throughput technologies, growth of clinical data warehouses, and rapid accumulation of biomedical knowledge provided unprecedented opportunities and challenges to researchers in biomedical informatics. One distinct solution, to efficiently conduct big data analytics for biomedical problems, is the application of matrix computation and factorization methods such as non-negative matrix factorization, joint matrix factorization, tensor factorization, principal component analysis (PCA), and singular value decomposition (SVD). Compared to probabilistic and information theoretic approaches, matrix-based methods are fast, easy to understand and implement. In recent years, matrix-based methods have been successfully adapted to many challenges in biomedicine, such as drug repositioning, drug-target interactions, and electronic phenotyping.
This workshop will cover the application of matrix computational techniques in dealing with massive, high-dimensional, and nonlinear-structured biomedical data. The objectives of this workshop are:
1. Bring together leading researchers on many topic areas (e.g., data miners, computational biologists, and healthcare professionals) to assess the state-of-the-art, share ideas, and form collaborations.
2. Present recent advances in algorithms and methods using matrix and their potential applications in biomedical informatics and identify killer applications and key industry drivers (where theories and applications meet).
3. Exploring benchmark data from real-world applications for better evaluation of the techniques.
Workshop topics:
Topic areas for the workshop include (but are not limited to) the following:
Methods and algorithms:
- Linear, quadratic and semi-definite programming
- Sparse and probabilistic matrix factorization
- Probabilistic methods for matrix factorization
- Low-rank kernel methods for matrix factorization
- Tensor analysis
- Higher-order SVD (e.g., CP decomposition, Tucker decomposition)
- Deep learning
- Collaborative filtering and recommender systems
- PCA and SVD for clustering and dimension reduction
- Spectral graph clustering
Application areas:
- Drug discovery
- Computational biology and bioinformatics
- Clinical informatics
- Health informatics
Paper submission and reviewing will be handled electronically at https://easychair.org/conferences/?conf=mcbi2015 . Authors should consult the workshop Web site for full details regarding paper preparation and submission guidelines.
Workshop Chairs:
Riccardo Bellazzi, University of Pavia
Jimeng Sun, Georgia Institute of Technology
Ping Zhang, IBM T.J. Watson Research Center