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Found 6 papers, 2 papers with code
Robust Model-Based Optimization for Challenging Fitness Landscapes
Protein design, a grand challenge of the day, involves optimization on a fitness landscape, and leading methods adopt a model-based approach where a model is trained on a training set (protein sequences and fitness) and proposes candidates to explore next.
CIMLA: Interpretable AI for inference of differential causal networks
The discovery of causal relationships from high-dimensional data is a major open problem in bioinformatics.
Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach
Different from Web or general domain search, a large portion of queries in scientific literature search are entity-set queries, that is, multiple entities of possibly different types.
Toward Scalable Machine Learning and Data Mining: the Bioinformatics Case
In an effort to overcome the data deluge in computational biology and bioinformatics and to facilitate bioinformatics research in the era of big data, we identify some of the most influential algorithms that have been widely used in the bioinformatics community.
Relational Learning and Feature Extraction by Querying over Heterogeneous Information Networks
In particular, we provide an initial prototype for a relational and graph traversal query language where queries are directly used as relational features for structured machine learning models.
