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The Research Leagues events aim to release a wide range of articles that provide insight and explore the latest advancements in engineering, medicine, social science, applied science, management etc.

Our conference practices methodological, conceptual, and epistemological diversity. But we prefer articles that effectively engage with current intellectual debates. We expect our participants to contribute innovative ideas, perspectives, and research methods.

Our events can potentially revolutionize the current paradigm and pave the way for growth and development. Those who intend to have their original findings and research published through our events should get an idea from the Author Guidelines, Rules for Presentation, and Instruction sections, before anything else.

Engineering Topics

• Ad hoc information retrieval and text/image/video labeling
• Algorithms for alternative splicing analysis
• Algorithms for molecular evolution and phylogenetic analysis
• Algorithms for pharmacogenetics
• Biomedical text mining and imaging
• Biomolecular databases and data mining
• Biotext mining
• Cancer genomics
• Deep learning
• Feature learning
• Heterogeneous data integration and data fusion for diagnostics
• Immunology
• Information extraction
• Latent factor analysis
• Learning to rank
• Machine Learning and Data Mining
• Machine Learning for Big Data Analytics in Biomedicine
• Mass spectrometry data analysis in proteomics
• Mathematical modelling and simulation of biological systems
• Medical informatics
• Methods for comparative genomics
• Methods for the functional classification of genes
• Methods for the integration of clinical and genetic data
• Methods for the unsupervised analysis, validation and visualization of structures discovered in biomolecular data
• Modeling and evaluation methods for diagnosis and prognosis
• Multi omics integration
• Multi-task learning
• Next generation sequencing bioinformatics