11th International Conference on Practical Applications of Computational Biology & Bioinformatics
Biological and biomedical research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data. The impressive capabilities of next-generation sequencing technologies, together with novel and constantly e...
Saved in:
| Corporate Author: | |
|---|---|
| Other Authors: | , , , , |
| Format: | eBook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
[2017]
|
| Series: | Advances in intelligent systems and computing ;
616. |
| Subjects: | |
| ISBN: | 9783319608167 9783319608150 |
| Physical Description: | 1 online resource : illustrations |
Cover
Table of contents
| LEADER | 07410cam a2200541Ii 4500 | ||
|---|---|---|---|
| 001 | 100146 | ||
| 003 | CZ-ZlUTB | ||
| 005 | 20240914112600.0 | ||
| 006 | m o d | ||
| 007 | cr cnu|||unuuu | ||
| 008 | 170622s2017 sz a ob 101 0 eng d | ||
| 040 | |a N$T |b eng |e rda |e pn |c N$T |d EBLCP |d N$T |d YDX |d GW5XE |d OCLCF |d UAB |d AZU |d UPM |d STF |d MERER |d ESU |d OCLCQ |d COO |d OCLCQ |d IOG |d OCLCO |d U3W |d CAUOI |d KSU |d VT2 |d AU@ |d WYU |d UKMGB |d UKAHL |d OCLCQ | ||
| 020 | |a 9783319608167 |q (electronic bk.) | ||
| 020 | |z 9783319608150 | ||
| 024 | 7 | |a 10.1007/978-3-319-60816-7 |2 doi | |
| 035 | |a (OCoLC)990777961 |z (OCoLC)991718836 |z (OCoLC)992537140 |z (OCoLC)996425843 |z (OCoLC)999576312 |z (OCoLC)1005773001 |z (OCoLC)1011793927 |z (OCoLC)1048167660 |z (OCoLC)1058327027 |z (OCoLC)1066691019 |z (OCoLC)1086537011 | ||
| 111 | 2 | |a International Conference on Practical Applications of Computational Biology & Bioinformatics |n (11th : |d 2017 : |c Porto, Portugal) | |
| 245 | 1 | 0 | |a 11th International Conference on Practical Applications of Computational Biology & Bioinformatics / |c Florentino Fdez-Riverola, Mohd Saberi Mohamad, Miguel P. Rocha, Juan F. De Paz, Tiago Pinto, editors. |
| 264 | 1 | |a Cham, Switzerland : |b Springer, |c [2017] | |
| 300 | |a 1 online resource : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a počítač |b c |2 rdamedia | ||
| 338 | |a online zdroj |b cr |2 rdacarrier | ||
| 490 | 1 | |a Advances in intelligent systems and computing ; |v volume 616 | |
| 505 | 0 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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. | |
| 504 | |a Includes bibliographical references and index. | ||
| 506 | |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty | ||
| 520 | |a Biological and biomedical research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data. The impressive capabilities of next-generation sequencing technologies, together with novel and constantly evolving, distinct types of omics data technologies, have created an increasingly complex set of challenges for the growing fields of Bioinformatics and Computational Biology. The analysis of the datasets produced and their integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Clearly, Biology is more and more a science of information and requires tools from the computational sciences. In the last few years, we have seen the rise of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific fields is, more than ever, of foremost importance in boosting the research efforts in the field and contributing to the education of a new generation of Bioinformatics scientists. The PACBB'17 conference was intended to contribute to this effort and promote this fruitful interaction, with a technical program that included 39 papers spanning many different sub-fields in Bioinformatics and Computational Biology. Further, the conference promoted the interaction of scientists from diverse research groups and with a distinct background (computer scientists, mathematicians, biologists). | ||
| 590 | |a SpringerLink |b Springer Complete eBooks | ||
| 650 | 0 | |a Computational biology |v Congresses. | |
| 650 | 0 | |a Bioinformatics |v Congresses. | |
| 655 | 7 | |a elektronické knihy |7 fd186907 |2 czenas | |
| 655 | 9 | |a electronic books |2 eczenas | |
| 700 | 1 | |a Fdez.-Riverola, Florentino |q (Fernandez-Riverola), |e editor. | |
| 700 | 0 | |a Mohd Saberi Mohamad, |e editor. | |
| 700 | 1 | |a Rocha, Miguel P., |e editor. | |
| 700 | 1 | |a Paz Santana, Juan F. de, |e editor. | |
| 700 | 1 | |a Pinto, Tiago, |e editor. | |
| 776 | 0 | 8 | |i Print version: |a International Conference on Practical Applications of Computational Biology & Bioinformatics (11th : 2017 : Porto, Portugal). |t 11th International Conference on Practical Applications of Computational Biology & Bioinformatics. |d Cham, Switzerland : Springer, [2017] |z 9783319608150 |z 3319608150 |w (OCoLC)987281974 |
| 830 | 0 | |a Advances in intelligent systems and computing ; |v 616. | |
| 856 | 4 | 0 | |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-60816-7 |y Plný text |
| 992 | |c NTK-SpringerENG | ||
| 999 | |c 100146 |d 100146 | ||
| 993 | |x NEPOSILAT |y EIZ | ||
Save to List
Cite this
Export Record
Email this