11th International Conference on Practical Applications of Computational Biology & Bioinformatics /
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| Meeting name: | International Conference on Practical Applications of Computational Biology & Bioinformatics (11th : 2017 : Porto, Portugal) |
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| Imprint: | Cham, Switzerland : Springer, [2017] |
| Description: | 1 online resource : illustrations |
| Language: | English |
| Series: | Advances in intelligent systems and computing ; volume 616 Advances in intelligent systems and computing ; 616. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11308281 |
Table of Contents:
- Preface; Organization; General Co-chairs; Program Committee; Organising Committee; PACBB 2016 Sponsors; Contents; S2P: A Desktop Application for Fast and Easy Processing of 2D-Gel and MALDI-Based Mass Spectrometry ... ; Abstract; 1 Introduction; 2 Materials and Methods; 2.1 Case Study; 2.2 Implementation; 3 Results and Discussion; 4 Conclusions; Acknowledgements; References; Multi-Enzyme Pathway Optimisation Through Star-Shaped Reachable Sets; 1 Introduction; 1.1 Multi-Enzyme Pathways; 1.2 Mathematical Setup; 1.3 Optimal Control; 2 Star-Shaped Reachable Sets.
- 2.1 Reachable Sets and Optimization2.2 Star-Shaped Sets Generated by Multi-Enzyme Pathway; 2.3 Examples; 3 Conclusions; References; Automated Collection and Sharing of Adaptive Amino Acid Changes Data; Abstract; 1 Introduction; 2 ADOPS Batch Mode; 3 B+ Database Implementation; 4 Conclusion; Acknowledgements; References; ROC632: An Overview; 1 Introduction; 1.1 ROC Curves; 1.2 Area Under the ROC Curve; 1.3 The Bootstrap Method; 2 Materials and Methods; 3 Results and Discussion; 3.1 Evaluation of the boot. ROC Function; 3.2 Assessment of the boot. ROCt Function; 4 Conclusions; References.
- Processing 2D Gel Electrophoresis Images for Efficient Gaussian Mixture ModelingAbstract; 1 Introduction; 2 Materials and Methods; 2.1 Data; 2.2 Processing Methods; 2.3 Gaussian Mixture Modeling; 3 Results and Discussion; 3.1 Spot Detection Performance; 3.2 Goodness of Model Fit; 4 Conclusions; Acknowledgments; References; Improving Document Prioritization for Protein-Protein Interaction Extraction Using Shallow Linguistics and Word Embeddings; 1 Introduction; 2 Methods; 2.1 Data; 2.2 Feature Extraction; 2.3 Document Classification; 3 Results; 4 Conclusions; References.
- K-Means Clustering with Infinite Feature Selection for Classification Tasks in Gene Expression DataAbstract; 1 Introduction; 2 Materials and Methods; 2.1 Datasets and Tools; 2.2 Centroid Clustering Analysis (CCA-I); 2.3 Clustering Validation (CV-II); 2.4 Feature Selection (FS-III); 2.5 Classification (C-IV); 3 Results and Discussion; 3.1 Accuracy and Number of the Selected Genes in the Subset; 3.2 List of the Selected Genes; 4 Conclusion; Acknowledgements; References; Classification of Colorectal Cancer Using Clustering and Feature Selection Approaches; Abstract; 1 Introduction.
- 2 Material and Methods2.1 Dataset and Tools; 2.2 Clustering; 2.3 Clustering Validation; 2.4 Feature Selection; 2.5 Classification; 3 Results and Discussion; 4 Conclusion; Acknowledgements; References; Development of Text Mining Tools for Information Retrieval from Patents; 1 Introduction; 2 Patent Pipeline Development; 3 Results; 4 Conclusions; References; How Can Photo Sharing Inspire Sharing Genomes?; 1 Introduction; 2 An Analogy Between Sharing Photos and Sharing Genomes; 2.1 Some Portions of Data Are More Privacy-Sensitive Than Others; 2.2 One's Data May Affect the Privacy of Others.