Deep learning approaches for predicting pathogenic potentials of novel DNA and RNA sequences:
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis Electronic eBook |
| Language: | English |
| Published: |
Berlin
2022
|
| Subjects: | |
| Online Access: | Volltext |
| Physical Description: | 1 Online-Ressource (viii, 219 Seiten) Illustrationen, Diagramme |
Staff View
MARC
| LEADER | 00000nmm a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV048360237 | ||
| 003 | DE-604 | ||
| 006 | a m||| 00||| | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 220714s2022 |||| o||u| ||||||eng d | ||
| 024 | 7 | |a 10.17169/refubium-35226 |2 doi | |
| 024 | 7 | |a urn:nbn:de:kobv:188-refubium-35511-9 |2 urn | |
| 035 | |a (OCoLC)1337118230 | ||
| 035 | |a (DE-599)BVBBV048360237 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-188 | ||
| 084 | |a 004 |2 FUB | ||
| 084 | |a 570 |2 FUB | ||
| 100 | 1 | |a Bartoszewicz, Jakub Maciej |e Verfasser |0 (DE-588)1262507367 |4 aut | |
| 245 | 1 | 0 | |a Deep learning approaches for predicting pathogenic potentials of novel DNA and RNA sequences |c vorgelegt von Jakub Maciej Bartoszewicz |
| 264 | 1 | |a Berlin |c 2022 | |
| 300 | |a 1 Online-Ressource (viii, 219 Seiten) |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 502 | |b Dissertation |c Freie Universität Berlin |d 2022 | ||
| 650 | 4 | |a deep learning | |
| 650 | 4 | |a genomics | |
| 650 | 4 | |a next-generation sequencing | |
| 650 | 4 | |a novel pathogens | |
| 650 | 4 | |a pathogen detection | |
| 650 | 4 | |a interpretability | |
| 650 | 4 | |a real-time analysis | |
| 650 | 4 | |a bacteria | |
| 655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Bartoszewicz, Jakub Maciej |t Deep learning approaches for predicting pathogenic potentials of novel DNA and RNA sequences |w (DE-604)BV048360238 |
| 856 | 4 | 0 | |u https://refubium.fu-berlin.de/handle/fub188/35511 |x Resolving-System |z kostenfrei |3 Volltext |
| 912 | |a ebook | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-033739447 | |
Record in the Search Index
| _version_ | 1806961302403284992 |
|---|---|
| adam_text | |
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Bartoszewicz, Jakub Maciej |
| author_GND | (DE-588)1262507367 |
| author_facet | Bartoszewicz, Jakub Maciej |
| author_role | aut |
| author_sort | Bartoszewicz, Jakub Maciej |
| author_variant | j m b jm jmb |
| building | Verbundindex |
| bvnumber | BV048360237 |
| collection | ebook |
| ctrlnum | (OCoLC)1337118230 (DE-599)BVBBV048360237 |
| format | Thesis Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nmm a2200000 c 4500</leader><controlfield tag="001">BV048360237</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="006">a m||| 00|||</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">220714s2022 |||| o||u| ||||||eng d</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.17169/refubium-35226</subfield><subfield code="2">doi</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">urn:nbn:de:kobv:188-refubium-35511-9</subfield><subfield code="2">urn</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1337118230</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV048360237</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-188</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">004</subfield><subfield code="2">FUB</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">570</subfield><subfield code="2">FUB</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bartoszewicz, Jakub Maciej</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1262507367</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Deep learning approaches for predicting pathogenic potentials of novel DNA and RNA sequences</subfield><subfield code="c">vorgelegt von Jakub Maciej Bartoszewicz</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin</subfield><subfield code="c">2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (viii, 219 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">Freie Universität Berlin</subfield><subfield code="d">2022</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">deep learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">genomics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">next-generation sequencing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">novel pathogens</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">pathogen detection</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">interpretability</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">real-time analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bacteria</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="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="a">Bartoszewicz, Jakub Maciej</subfield><subfield code="t">Deep learning approaches for predicting pathogenic potentials of novel DNA and RNA sequences</subfield><subfield code="w">(DE-604)BV048360238</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://refubium.fu-berlin.de/handle/fub188/35511</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="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033739447</subfield></datafield></record></collection> |
| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV048360237 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T20:14:22Z |
| indexdate | 2024-08-10T01:16:24Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033739447 |
| oclc_num | 1337118230 |
| open_access_boolean | 1 |
| owner | DE-188 |
| owner_facet | DE-188 |
| physical | 1 Online-Ressource (viii, 219 Seiten) Illustrationen, Diagramme |
| psigel | ebook |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| record_format | marc |
| spelling | Bartoszewicz, Jakub Maciej Verfasser (DE-588)1262507367 aut Deep learning approaches for predicting pathogenic potentials of novel DNA and RNA sequences vorgelegt von Jakub Maciej Bartoszewicz Berlin 2022 1 Online-Ressource (viii, 219 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Dissertation Freie Universität Berlin 2022 deep learning genomics next-generation sequencing novel pathogens pathogen detection interpretability real-time analysis bacteria (DE-588)4113937-9 Hochschulschrift gnd-content Erscheint auch als Druck-Ausgabe Bartoszewicz, Jakub Maciej Deep learning approaches for predicting pathogenic potentials of novel DNA and RNA sequences (DE-604)BV048360238 https://refubium.fu-berlin.de/handle/fub188/35511 Resolving-System kostenfrei Volltext |
| spellingShingle | Bartoszewicz, Jakub Maciej Deep learning approaches for predicting pathogenic potentials of novel DNA and RNA sequences deep learning genomics next-generation sequencing novel pathogens pathogen detection interpretability real-time analysis bacteria |
| subject_GND | (DE-588)4113937-9 |
| title | Deep learning approaches for predicting pathogenic potentials of novel DNA and RNA sequences |
| title_auth | Deep learning approaches for predicting pathogenic potentials of novel DNA and RNA sequences |
| title_exact_search | Deep learning approaches for predicting pathogenic potentials of novel DNA and RNA sequences |
| title_exact_search_txtP | Deep learning approaches for predicting pathogenic potentials of novel DNA and RNA sequences |
| title_full | Deep learning approaches for predicting pathogenic potentials of novel DNA and RNA sequences vorgelegt von Jakub Maciej Bartoszewicz |
| title_fullStr | Deep learning approaches for predicting pathogenic potentials of novel DNA and RNA sequences vorgelegt von Jakub Maciej Bartoszewicz |
| title_full_unstemmed | Deep learning approaches for predicting pathogenic potentials of novel DNA and RNA sequences vorgelegt von Jakub Maciej Bartoszewicz |
| title_short | Deep learning approaches for predicting pathogenic potentials of novel DNA and RNA sequences |
| title_sort | deep learning approaches for predicting pathogenic potentials of novel dna and rna sequences |
| topic | deep learning genomics next-generation sequencing novel pathogens pathogen detection interpretability real-time analysis bacteria |
| topic_facet | deep learning genomics next-generation sequencing novel pathogens pathogen detection interpretability real-time analysis bacteria Hochschulschrift |
| url | https://refubium.fu-berlin.de/handle/fub188/35511 |
| work_keys_str_mv | AT bartoszewiczjakubmaciej deeplearningapproachesforpredictingpathogenicpotentialsofnoveldnaandrnasequences |