Statistical Modelling and Machine Learning principles for bioinformatics techniques, tools, and applications:
This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics. It also highlights the role of computing and machine learning in knowledge extraction from biological data, and how this knowledge can be applied...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Singapore, Singapore
Springer
[2020]
|
| Schriftenreihe: | Algorithms for intelligent systems
|
| Schlagworte: | |
| Zusammenfassung: | This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics. It also highlights the role of computing and machine learning in knowledge extraction from biological data, and how this knowledge can be applied in fields such as drug design, health supplements, gene therapy, proteomics and agriculture |
| Beschreibung: | Part 1: Bioinformatics.- Chapter 1. Introduction to Bioinformatics.- Chapter 2. Review about Bioinformatics, Databases, Sequence Alignment, Docking and Drug Discovery.- Chapter 3. Machine Learning for Bioinformatics.- Chapter 4. Impact of Machine Learning in Bioinformatics Research.-Chapter 5. Text-mining in Bioinformatics.- Chapter 6. Open Source Software Tools for Bioinformatics.- Part 2: Protein Structure Prediction and Gene Expression Analysis.- Chapter 7. A Study on Protein Structure Prediction.- Chapter 8. Computational Methods Used in Prediction of Protein Structure.- Chapter 9. Computational Methods for Inference of Gene Regulatory Networks from Gene Expression Data.- Chapter 10. Machine Learning Algorithms for Feature Selection from Gene Expression Data.- Part 3: Genomics and Proteomics.- Chapter 11. Unsupervised Techniques in Genomics.- Chapter 12. Supervised Techniques in Proteomics.- Chapter 13. Visualizing Codon Usage Within and Across Genomes: Concepts and Tools.- Chapter 14. Single-Cell Multiomics: Dissecting Cancer. |
| Beschreibung: | xii, 317 Seiten Illustrationen, Diagramme 510 grams |
| ISBN: | 9789811524479 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV047170675 | ||
| 003 | DE-604 | ||
| 005 | 20210420 | ||
| 007 | t | ||
| 008 | 210301s2020 a||| |||| 00||| eng d | ||
| 020 | |a 9789811524479 |c pbk |9 978-981-152-447-9 | ||
| 024 | 3 | |a 9789811524479 | |
| 035 | |a (OCoLC)1183792789 | ||
| 035 | |a (DE-599)BVBBV047170675 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-29T | ||
| 245 | 1 | 0 | |a Statistical Modelling and Machine Learning principles for bioinformatics techniques, tools, and applications |c K.G. Srinivasa, G.M. Siddesh, S.R. Manisekhar, editors |
| 264 | 1 | |a Singapore, Singapore |b Springer |c [2020] | |
| 300 | |a xii, 317 Seiten |b Illustrationen, Diagramme |c 510 grams | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Algorithms for intelligent systems | |
| 500 | |a Part 1: Bioinformatics.- Chapter 1. Introduction to Bioinformatics.- Chapter 2. Review about Bioinformatics, Databases, Sequence Alignment, Docking and Drug Discovery.- Chapter 3. Machine Learning for Bioinformatics.- Chapter 4. Impact of Machine Learning in Bioinformatics Research.-Chapter 5. Text-mining in Bioinformatics.- Chapter 6. Open Source Software Tools for Bioinformatics.- Part 2: Protein Structure Prediction and Gene Expression Analysis.- Chapter 7. A Study on Protein Structure Prediction.- Chapter 8. Computational Methods Used in Prediction of Protein Structure.- Chapter 9. Computational Methods for Inference of Gene Regulatory Networks from Gene Expression Data.- Chapter 10. Machine Learning Algorithms for Feature Selection from Gene Expression Data.- Part 3: Genomics and Proteomics.- Chapter 11. Unsupervised Techniques in Genomics.- Chapter 12. Supervised Techniques in Proteomics.- Chapter 13. Visualizing Codon Usage Within and Across Genomes: Concepts and Tools.- Chapter 14. Single-Cell Multiomics: Dissecting Cancer. | ||
| 520 | |a This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics. It also highlights the role of computing and machine learning in knowledge extraction from biological data, and how this knowledge can be applied in fields such as drug design, health supplements, gene therapy, proteomics and agriculture | ||
| 650 | 4 | |a Computational intelligence | |
| 650 | 4 | |a Bioinformatics | |
| 650 | 4 | |a Bioinformatics | |
| 650 | 4 | |a Machine learning | |
| 650 | 4 | |a Engineering | |
| 650 | 0 | 7 | |a Bioinformatik |0 (DE-588)4611085-9 |2 gnd |9 rswk-swf |
| 653 | |a Allgemeines, Lexika | ||
| 655 | 7 | |0 (DE-588)4143413-4 |a Aufsatzsammlung |2 gnd-content | |
| 689 | 0 | 0 | |a Bioinformatik |0 (DE-588)4611085-9 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Srinivasa, K G |d 1978- |0 (DE-588)1077837445 |4 edt | |
| 700 | 1 | |a Siddesh, G. M. |d 1981- |0 (DE-588)1205829660 |4 edt | |
| 700 | 1 | |a Manisekhar, S. R. |0 (DE-588)1205829768 |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-981-15-2445-5 |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032576166 | ||
Datensatz im Suchindex
| _version_ | 1804182251950309376 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author2 | Srinivasa, K G 1978- Siddesh, G. M. 1981- Manisekhar, S. R. |
| author2_role | edt edt edt |
| author2_variant | k g s kg kgs g m s gm gms s r m sr srm |
| author_GND | (DE-588)1077837445 (DE-588)1205829660 (DE-588)1205829768 |
| author_facet | Srinivasa, K G 1978- Siddesh, G. M. 1981- Manisekhar, S. R. |
| building | Verbundindex |
| bvnumber | BV047170675 |
| ctrlnum | (OCoLC)1183792789 (DE-599)BVBBV047170675 |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03032nam a2200457 c 4500</leader><controlfield tag="001">BV047170675</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20210420 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">210301s2020 a||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9789811524479</subfield><subfield code="c">pbk</subfield><subfield code="9">978-981-152-447-9</subfield></datafield><datafield tag="024" ind1="3" ind2=" "><subfield code="a">9789811524479</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1183792789</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047170675</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-29T</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Statistical Modelling and Machine Learning principles for bioinformatics techniques, tools, and applications</subfield><subfield code="c">K.G. Srinivasa, G.M. Siddesh, S.R. Manisekhar, editors</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Singapore, Singapore</subfield><subfield code="b">Springer</subfield><subfield code="c">[2020]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xii, 317 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</subfield><subfield code="c">510 grams</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Algorithms for intelligent systems</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Part 1: Bioinformatics.- Chapter 1. Introduction to Bioinformatics.- Chapter 2. Review about Bioinformatics, Databases, Sequence Alignment, Docking and Drug Discovery.- Chapter 3. Machine Learning for Bioinformatics.- Chapter 4. Impact of Machine Learning in Bioinformatics Research.-Chapter 5. Text-mining in Bioinformatics.- Chapter 6. Open Source Software Tools for Bioinformatics.- Part 2: Protein Structure Prediction and Gene Expression Analysis.- Chapter 7. A Study on Protein Structure Prediction.- Chapter 8. Computational Methods Used in Prediction of Protein Structure.- Chapter 9. Computational Methods for Inference of Gene Regulatory Networks from Gene Expression Data.- Chapter 10. Machine Learning Algorithms for Feature Selection from Gene Expression Data.- Part 3: Genomics and Proteomics.- Chapter 11. Unsupervised Techniques in Genomics.- Chapter 12. Supervised Techniques in Proteomics.- Chapter 13. Visualizing Codon Usage Within and Across Genomes: Concepts and Tools.- Chapter 14. Single-Cell Multiomics: Dissecting Cancer.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics. It also highlights the role of computing and machine learning in knowledge extraction from biological data, and how this knowledge can be applied in fields such as drug design, health supplements, gene therapy, proteomics and agriculture</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computational intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bioinformatics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bioinformatics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Engineering</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Bioinformatik</subfield><subfield code="0">(DE-588)4611085-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Allgemeines, Lexika</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4143413-4</subfield><subfield code="a">Aufsatzsammlung</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Bioinformatik</subfield><subfield code="0">(DE-588)4611085-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Srinivasa, K G</subfield><subfield code="d">1978-</subfield><subfield code="0">(DE-588)1077837445</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Siddesh, G. M.</subfield><subfield code="d">1981-</subfield><subfield code="0">(DE-588)1205829660</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Manisekhar, S. R.</subfield><subfield code="0">(DE-588)1205829768</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-981-15-2445-5</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032576166</subfield></datafield></record></collection> |
| genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content |
| genre_facet | Aufsatzsammlung |
| id | DE-604.BV047170675 |
| illustrated | Illustrated |
| index_date | 2024-07-03T16:42:54Z |
| indexdate | 2024-07-10T09:04:35Z |
| institution | BVB |
| isbn | 9789811524479 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032576166 |
| oclc_num | 1183792789 |
| open_access_boolean | |
| owner | DE-29T |
| owner_facet | DE-29T |
| physical | xii, 317 Seiten Illustrationen, Diagramme 510 grams |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Springer |
| record_format | marc |
| series2 | Algorithms for intelligent systems |
| spelling | Statistical Modelling and Machine Learning principles for bioinformatics techniques, tools, and applications K.G. Srinivasa, G.M. Siddesh, S.R. Manisekhar, editors Singapore, Singapore Springer [2020] xii, 317 Seiten Illustrationen, Diagramme 510 grams txt rdacontent n rdamedia nc rdacarrier Algorithms for intelligent systems Part 1: Bioinformatics.- Chapter 1. Introduction to Bioinformatics.- Chapter 2. Review about Bioinformatics, Databases, Sequence Alignment, Docking and Drug Discovery.- Chapter 3. Machine Learning for Bioinformatics.- Chapter 4. Impact of Machine Learning in Bioinformatics Research.-Chapter 5. Text-mining in Bioinformatics.- Chapter 6. Open Source Software Tools for Bioinformatics.- Part 2: Protein Structure Prediction and Gene Expression Analysis.- Chapter 7. A Study on Protein Structure Prediction.- Chapter 8. Computational Methods Used in Prediction of Protein Structure.- Chapter 9. Computational Methods for Inference of Gene Regulatory Networks from Gene Expression Data.- Chapter 10. Machine Learning Algorithms for Feature Selection from Gene Expression Data.- Part 3: Genomics and Proteomics.- Chapter 11. Unsupervised Techniques in Genomics.- Chapter 12. Supervised Techniques in Proteomics.- Chapter 13. Visualizing Codon Usage Within and Across Genomes: Concepts and Tools.- Chapter 14. Single-Cell Multiomics: Dissecting Cancer. This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics. It also highlights the role of computing and machine learning in knowledge extraction from biological data, and how this knowledge can be applied in fields such as drug design, health supplements, gene therapy, proteomics and agriculture Computational intelligence Bioinformatics Machine learning Engineering Bioinformatik (DE-588)4611085-9 gnd rswk-swf Allgemeines, Lexika (DE-588)4143413-4 Aufsatzsammlung gnd-content Bioinformatik (DE-588)4611085-9 s DE-604 Srinivasa, K G 1978- (DE-588)1077837445 edt Siddesh, G. M. 1981- (DE-588)1205829660 edt Manisekhar, S. R. (DE-588)1205829768 edt Erscheint auch als Online-Ausgabe 978-981-15-2445-5 |
| spellingShingle | Statistical Modelling and Machine Learning principles for bioinformatics techniques, tools, and applications Computational intelligence Bioinformatics Machine learning Engineering Bioinformatik (DE-588)4611085-9 gnd |
| subject_GND | (DE-588)4611085-9 (DE-588)4143413-4 |
| title | Statistical Modelling and Machine Learning principles for bioinformatics techniques, tools, and applications |
| title_auth | Statistical Modelling and Machine Learning principles for bioinformatics techniques, tools, and applications |
| title_exact_search | Statistical Modelling and Machine Learning principles for bioinformatics techniques, tools, and applications |
| title_exact_search_txtP | Statistical Modelling and Machine Learning principles for bioinformatics techniques, tools, and applications |
| title_full | Statistical Modelling and Machine Learning principles for bioinformatics techniques, tools, and applications K.G. Srinivasa, G.M. Siddesh, S.R. Manisekhar, editors |
| title_fullStr | Statistical Modelling and Machine Learning principles for bioinformatics techniques, tools, and applications K.G. Srinivasa, G.M. Siddesh, S.R. Manisekhar, editors |
| title_full_unstemmed | Statistical Modelling and Machine Learning principles for bioinformatics techniques, tools, and applications K.G. Srinivasa, G.M. Siddesh, S.R. Manisekhar, editors |
| title_short | Statistical Modelling and Machine Learning principles for bioinformatics techniques, tools, and applications |
| title_sort | statistical modelling and machine learning principles for bioinformatics techniques tools and applications |
| topic | Computational intelligence Bioinformatics Machine learning Engineering Bioinformatik (DE-588)4611085-9 gnd |
| topic_facet | Computational intelligence Bioinformatics Machine learning Engineering Bioinformatik Aufsatzsammlung |
| work_keys_str_mv | AT srinivasakg statisticalmodellingandmachinelearningprinciplesforbioinformaticstechniquestoolsandapplications AT siddeshgm statisticalmodellingandmachinelearningprinciplesforbioinformaticstechniquestoolsandapplications AT manisekharsr statisticalmodellingandmachinelearningprinciplesforbioinformaticstechniquestoolsandapplications |