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Artificial Intelligence (AI) Optimized Systems Modeling for the Deeper Understanding of Human Cancers
  • Language: en
  • Pages: 203
Advanced Interpretable Machine Learning Methods for Clinical NGS Big Data of Complex Hereditary Diseases, 2nd Edition
  • Language: en
  • Pages: 219

Advanced Interpretable Machine Learning Methods for Clinical NGS Big Data of Complex Hereditary Diseases, 2nd Edition

Publisher’s note: This is a 2nd edition due to an article retraction

Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine
  • Language: en
  • Pages: 393
Computational and systems biology methods for elucidating associations between cancer and microbes
  • Language: en
  • Pages: 219
Language and culture in organization and consumer behaviors
  • Language: en
  • Pages: 348

Language and culture in organization and consumer behaviors

None

Predicting High-Risk Individuals for Common Diseases Using Multi-Omics and Epidemiological Data
  • Language: en
  • Pages: 198
Bioinformatics in Microbiota
  • Language: en
  • Pages: 423

Bioinformatics in Microbiota

None

Machine Learning Techniques on Gene Function Prediction
  • Language: en
  • Pages: 485
Network Bioscience, 2nd Edition
  • Language: en
  • Pages: 270

Network Bioscience, 2nd Edition

Network science has accelerated a deep and successful trend in research that influences a range of disciplines like mathematics, graph theory, physics, statistics, data science and computer science (just to name a few) and adapts the relevant techniques and insights to address relevant but disparate social, biological, technological questions. We are now in an era of 'big biological data' supported by cost-effective high-throughput genomic, transcriptomic, proteomic, metabolomic data collection techniques that allow one to take snapshots of the cells' molecular profiles in a systematic fashion. Moreover recently, also phenotypic data, data on diseases, symptoms, patients, etc. are being coll...