Deep learning approaches for predicting pathogenic potentials of novel DNA and RNA sequences:
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Abschlussarbeit Buch |
Sprache: | English |
Veröffentlicht: |
Berlin
2022
|
Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | viii, 219 Seiten Illustrationen, Diagramme |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
---|---|---|---|
001 | BV048360238 | ||
003 | DE-604 | ||
007 | t | ||
008 | 220714s2022 a||| m||| 00||| eng d | ||
035 | |a (OCoLC)1337131324 | ||
035 | |a (DE-599)BVBBV048360238 | ||
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 viii, 219 Seiten |b Illustrationen, Diagramme | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |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 Online-Ausgabe |a Bartoszewicz, Jakub Maciej |t Deep learning approaches for predicting pathogenic potentials of novel DNA and RNA sequences |w (DE-604)BV048360237 |
856 | 4 | 1 | |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:BVB01-033739448 |
Datensatz im Suchindex
_version_ | 1806961302431596544 |
---|---|
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 | BV048360238 |
collection | ebook |
ctrlnum | (OCoLC)1337131324 (DE-599)BVBBV048360238 |
format | Thesis Book |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 c 4500</leader><controlfield tag="001">BV048360238</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">220714s2022 a||| m||| 00||| eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1337131324</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV048360238</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">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">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="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">Online-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)BV048360237</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><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:BVB01-033739448</subfield></datafield></record></collection> |
genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
genre_facet | Hochschulschrift |
id | DE-604.BV048360238 |
illustrated | 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:BVB01-033739448 |
oclc_num | 1337131324 |
open_access_boolean | 1 |
owner | DE-188 |
owner_facet | DE-188 |
physical | 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 viii, 219 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc 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 Online-Ausgabe Bartoszewicz, Jakub Maciej Deep learning approaches for predicting pathogenic potentials of novel DNA and RNA sequences (DE-604)BV048360237 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 |