Combining traditional methods with novel machine learning techniques to understand the translation of genetic code into biological function:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin
2021
|
| Schlagworte: | |
| Online-Zugang: | kostenfrei |
| Beschreibung: | 1 Online-Ressource (179 Seiten) Illustrationen, Diagramme |
| DOI: | 10.14279/depositonce-12214 |
Internformat
MARC
| LEADER | 00000nmm a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV047447309 | ||
| 003 | DE-604 | ||
| 005 | 20211001 | ||
| 006 | a m||| 00||| | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 210831s2021 |||| o||u| ||||||eng d | ||
| 024 | 7 | |a 10.14279/depositonce-12214 |2 doi | |
| 035 | |a (OCoLC)1268173617 | ||
| 035 | |a (DE-599)BVBBV047447309 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-83 | ||
| 084 | |a ST 640 |0 (DE-625)143686: |2 rvk | ||
| 100 | 1 | |a Mieth, Bettina |e Verfasser |0 (DE-588)1240278535 |4 aut | |
| 245 | 1 | 0 | |a Combining traditional methods with novel machine learning techniques to understand the translation of genetic code into biological function |c vorgelegt von M.Sc. Bettina Mieth |
| 264 | 1 | |a Berlin |c 2021 | |
| 300 | |a 1 Online-Ressource (179 Seiten) |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 502 | |b Dissertation |c Technische Universität Berlin |d 2021 | ||
| 650 | 0 | 7 | |a Bioinformatik |0 (DE-588)4611085-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Genetischer Code |0 (DE-588)4156624-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
| 655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
| 689 | 0 | 0 | |a Genetischer Code |0 (DE-588)4156624-5 |D s |
| 689 | 0 | 1 | |a Bioinformatik |0 (DE-588)4611085-9 |D s |
| 689 | 0 | 2 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 0 | |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |w (DE-604)BV047447301 |
| 856 | 4 | 0 | |u https://doi.org/10.14279/depositonce-12214 |x Resolving-System |z kostenfrei |3 Volltext |
| 912 | |a ebook | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032849360 | ||
Datensatz im Suchindex
| _version_ | 1804182742543368192 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Mieth, Bettina |
| author_GND | (DE-588)1240278535 |
| author_facet | Mieth, Bettina |
| author_role | aut |
| author_sort | Mieth, Bettina |
| author_variant | b m bm |
| building | Verbundindex |
| bvnumber | BV047447309 |
| classification_rvk | ST 640 |
| collection | ebook |
| ctrlnum | (OCoLC)1268173617 (DE-599)BVBBV047447309 |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.14279/depositonce-12214 |
| format | Thesis Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01669nmm a2200421 c 4500</leader><controlfield tag="001">BV047447309</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20211001 </controlfield><controlfield tag="006">a m||| 00||| </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">210831s2021 |||| o||u| ||||||eng d</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.14279/depositonce-12214</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1268173617</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047447309</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-83</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 640</subfield><subfield code="0">(DE-625)143686:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Mieth, Bettina</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1240278535</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Combining traditional methods with novel machine learning techniques to understand the translation of genetic code into biological function</subfield><subfield code="c">vorgelegt von M.Sc. Bettina Mieth</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin</subfield><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (179 Seiten)</subfield><subfield code="b">Illustrationen, Diagramme</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">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="502" ind1=" " ind2=" "><subfield code="b">Dissertation</subfield><subfield code="c">Technische Universität Berlin</subfield><subfield code="d">2021</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="650" ind1="0" ind2="7"><subfield code="a">Genetischer Code</subfield><subfield code="0">(DE-588)4156624-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4113937-9</subfield><subfield code="a">Hochschulschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Genetischer Code</subfield><subfield code="0">(DE-588)4156624-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><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="2"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="w">(DE-604)BV047447301</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.14279/depositonce-12214</subfield><subfield code="x">Resolving-System</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ebook</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032849360</subfield></datafield></record></collection> |
| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV047447309 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T18:02:39Z |
| indexdate | 2024-07-10T09:12:23Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032849360 |
| oclc_num | 1268173617 |
| open_access_boolean | 1 |
| owner | DE-83 |
| owner_facet | DE-83 |
| physical | 1 Online-Ressource (179 Seiten) Illustrationen, Diagramme |
| psigel | ebook |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| record_format | marc |
| spelling | Mieth, Bettina Verfasser (DE-588)1240278535 aut Combining traditional methods with novel machine learning techniques to understand the translation of genetic code into biological function vorgelegt von M.Sc. Bettina Mieth Berlin 2021 1 Online-Ressource (179 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Dissertation Technische Universität Berlin 2021 Bioinformatik (DE-588)4611085-9 gnd rswk-swf Genetischer Code (DE-588)4156624-5 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Genetischer Code (DE-588)4156624-5 s Bioinformatik (DE-588)4611085-9 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 Erscheint auch als Druck-Ausgabe (DE-604)BV047447301 https://doi.org/10.14279/depositonce-12214 Resolving-System kostenfrei Volltext |
| spellingShingle | Mieth, Bettina Combining traditional methods with novel machine learning techniques to understand the translation of genetic code into biological function Bioinformatik (DE-588)4611085-9 gnd Genetischer Code (DE-588)4156624-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4611085-9 (DE-588)4156624-5 (DE-588)4193754-5 (DE-588)4113937-9 |
| title | Combining traditional methods with novel machine learning techniques to understand the translation of genetic code into biological function |
| title_auth | Combining traditional methods with novel machine learning techniques to understand the translation of genetic code into biological function |
| title_exact_search | Combining traditional methods with novel machine learning techniques to understand the translation of genetic code into biological function |
| title_exact_search_txtP | Combining traditional methods with novel machine learning techniques to understand the translation of genetic code into biological function |
| title_full | Combining traditional methods with novel machine learning techniques to understand the translation of genetic code into biological function vorgelegt von M.Sc. Bettina Mieth |
| title_fullStr | Combining traditional methods with novel machine learning techniques to understand the translation of genetic code into biological function vorgelegt von M.Sc. Bettina Mieth |
| title_full_unstemmed | Combining traditional methods with novel machine learning techniques to understand the translation of genetic code into biological function vorgelegt von M.Sc. Bettina Mieth |
| title_short | Combining traditional methods with novel machine learning techniques to understand the translation of genetic code into biological function |
| title_sort | combining traditional methods with novel machine learning techniques to understand the translation of genetic code into biological function |
| topic | Bioinformatik (DE-588)4611085-9 gnd Genetischer Code (DE-588)4156624-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Bioinformatik Genetischer Code Maschinelles Lernen Hochschulschrift |
| url | https://doi.org/10.14279/depositonce-12214 |
| work_keys_str_mv | AT miethbettina combiningtraditionalmethodswithnovelmachinelearningtechniquestounderstandthetranslationofgeneticcodeintobiologicalfunction |