Machine Learning for Protein Subcellular Localization Prediction:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin/Boston
De Gruyter
[2015]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | For bioinformaticians, computational biologists, and wet-lab biologists, the authors provide the latest machine learning approaches for protein subcellular localization prediction with a systemic scheme for improving predictors performance |
| Beschreibung: | 1 Online-Ressource (XVII, 192 S.) |
| ISBN: | 9781501501500 9781501501517 9781501510489 |
| DOI: | 10.1515/9781501501500 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV042694017 | ||
| 003 | DE-604 | ||
| 005 | 20170207 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 150715s2015 |||| o||u| ||||||eng d | ||
| 020 | |a 9781501501500 |c Online |9 978-1-5015-0150-0 | ||
| 020 | |a 9781501501517 |c Print+Online |9 978-1-5015-0151-7 | ||
| 020 | |a 9781501510489 |c Print |9 978-1-5015-1048-9 | ||
| 024 | 7 | |a 10.1515/9781501501500 |2 doi | |
| 035 | |a (OCoLC)867840317 | ||
| 035 | |a (DE-599)BVBBV042694017 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-92 |a DE-863 |a DE-862 |a DE-91 |a DE-859 |a DE-860 |a DE-898 |a DE-Aug4 |a DE-739 |a DE-1046 |a DE-1043 |a DE-858 | ||
| 082 | 0 | |a 006.4 |2 23 | |
| 084 | |a VC 6150 |0 (DE-625)147084:253 |2 rvk | ||
| 100 | 1 | |a Wan, Shibiao |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Machine Learning for Protein Subcellular Localization Prediction |c Shibiao Wan, Man-Wai Mak |
| 264 | 1 | |a Berlin/Boston |b De Gruyter |c [2015] | |
| 300 | |a 1 Online-Ressource (XVII, 192 S.) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a For bioinformaticians, computational biologists, and wet-lab biologists, the authors provide the latest machine learning approaches for protein subcellular localization prediction with a systemic scheme for improving predictors performance | ||
| 610 | 2 | 7 | |a Protein |0 (DE-588)16276913-1 |2 gnd |9 rswk-swf |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Computer vision | |
| 650 | 4 | |a Informatik | |
| 650 | 4 | |a Pattern perception | |
| 650 | 4 | |a Künstliche Intelligenz | |
| 650 | 4 | |a Artificial Intelligence |v Congresses | |
| 650 | 4 | |a Artificial intelligence |v Congresses | |
| 650 | 4 | |a Computer vision |v Congresses | |
| 650 | 4 | |a Pattern Recognition, Automated |v Congresses | |
| 650 | 4 | |a Pattern perception |v Congresses | |
| 650 | 0 | 7 | |a Lokalisation |0 (DE-588)4195351-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Prognose |0 (DE-588)4047390-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |2 gnd |9 rswk-swf |
| 655 | 7 | |0 (DE-588)1071861417 |a Konferenzschrift |2 gnd-content | |
| 689 | 0 | 0 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |D s |
| 689 | 0 | 1 | |a Protein |0 (DE-588)16276913-1 |D b |
| 689 | 0 | 2 | |a Lokalisation |0 (DE-588)4195351-4 |D s |
| 689 | 0 | 3 | |a Prognose |0 (DE-588)4047390-9 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Mak, Man-Wai |e Verfasser |4 aut | |
| 856 | 4 | 0 | |u https://doi.org/10.1515/9781501501500 |x Verlag |3 Volltext |
| 912 | |a ZDB-23-DGG |a ZDB-23-DEI | ||
| 940 | 1 | |q ZDB-23-DEI15 | |
| 940 | 1 | |q FKE_PDA_DGG | |
| 940 | 1 | |q FLA_PDA_DGG | |
| 940 | 1 | |q FHA_PDA_DGG | |
| 940 | 1 | |q UPA_PDA_DGG | |
| 940 | 1 | |q FAW_PDA_DGG | |
| 940 | 1 | |q FCO_PDA_DGG | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-028125637 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | 588958 |
|---|---|
| _version_ | 1806179600542203904 |
| any_adam_object | |
| author | Wan, Shibiao Mak, Man-Wai |
| author_facet | Wan, Shibiao Mak, Man-Wai |
| author_role | aut aut |
| author_sort | Wan, Shibiao |
| author_variant | s w sw m w m mwm |
| building | Verbundindex |
| bvnumber | BV042694017 |
| classification_rvk | VC 6150 |
| collection | ZDB-23-DGG ZDB-23-DEI |
| ctrlnum | (OCoLC)867840317 (DE-599)BVBBV042694017 |
| dewey-full | 006.4 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.4 |
| dewey-search | 006.4 |
| dewey-sort | 16.4 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Chemie / Pharmazie Informatik |
| doi_str_mv | 10.1515/9781501501500 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02694nmm a2200685zc 4500</leader><controlfield tag="001">BV042694017</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20170207 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">150715s2015 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781501501500</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-5015-0150-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781501501517</subfield><subfield code="c">Print+Online</subfield><subfield code="9">978-1-5015-0151-7</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781501510489</subfield><subfield code="c">Print</subfield><subfield code="9">978-1-5015-1048-9</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1515/9781501501500</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)867840317</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV042694017</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-92</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-862</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-859</subfield><subfield code="a">DE-860</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-Aug4</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-1046</subfield><subfield code="a">DE-1043</subfield><subfield code="a">DE-858</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.4</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">VC 6150</subfield><subfield code="0">(DE-625)147084:253</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wan, Shibiao</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Machine Learning for Protein Subcellular Localization Prediction</subfield><subfield code="c">Shibiao Wan, Man-Wai Mak</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin/Boston</subfield><subfield code="b">De Gruyter</subfield><subfield code="c">[2015]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XVII, 192 S.)</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="500" ind1=" " ind2=" "><subfield code="a">For bioinformaticians, computational biologists, and wet-lab biologists, the authors provide the latest machine learning approaches for protein subcellular localization prediction with a systemic scheme for improving predictors performance</subfield></datafield><datafield tag="610" ind1="2" ind2="7"><subfield code="a">Protein</subfield><subfield code="0">(DE-588)16276913-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer vision</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Informatik</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pattern perception</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Künstliche Intelligenz</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial Intelligence</subfield><subfield code="v">Congresses</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield><subfield code="v">Congresses</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer vision</subfield><subfield code="v">Congresses</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pattern Recognition, Automated</subfield><subfield code="v">Congresses</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pattern perception</subfield><subfield code="v">Congresses</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Lokalisation</subfield><subfield code="0">(DE-588)4195351-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Prognose</subfield><subfield code="0">(DE-588)4047390-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)1071861417</subfield><subfield code="a">Konferenzschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Protein</subfield><subfield code="0">(DE-588)16276913-1</subfield><subfield code="D">b</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Lokalisation</subfield><subfield code="0">(DE-588)4195351-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Prognose</subfield><subfield code="0">(DE-588)4047390-9</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">Mak, Man-Wai</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1515/9781501501500</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-23-DGG</subfield><subfield code="a">ZDB-23-DEI</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-23-DEI15</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">FKE_PDA_DGG</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">FLA_PDA_DGG</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">FHA_PDA_DGG</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">UPA_PDA_DGG</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">FAW_PDA_DGG</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">FCO_PDA_DGG</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-028125637</subfield></datafield></record></collection> |
| genre | (DE-588)1071861417 Konferenzschrift gnd-content |
| genre_facet | Konferenzschrift |
| id | DE-604.BV042694017 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-01T12:11:35Z |
| institution | BVB |
| isbn | 9781501501500 9781501501517 9781501510489 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028125637 |
| oclc_num | 867840317 |
| open_access_boolean | |
| owner | DE-92 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-91 DE-BY-TUM DE-859 DE-860 DE-898 DE-BY-UBR DE-Aug4 DE-739 DE-1046 DE-1043 DE-858 |
| owner_facet | DE-92 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-91 DE-BY-TUM DE-859 DE-860 DE-898 DE-BY-UBR DE-Aug4 DE-739 DE-1046 DE-1043 DE-858 |
| physical | 1 Online-Ressource (XVII, 192 S.) |
| psigel | ZDB-23-DGG ZDB-23-DEI ZDB-23-DEI15 FKE_PDA_DGG FLA_PDA_DGG FHA_PDA_DGG UPA_PDA_DGG FAW_PDA_DGG FCO_PDA_DGG |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | De Gruyter |
| record_format | marc |
| spellingShingle | Wan, Shibiao Mak, Man-Wai Machine Learning for Protein Subcellular Localization Prediction Protein (DE-588)16276913-1 gnd Artificial intelligence Computer vision Informatik Pattern perception Künstliche Intelligenz Artificial Intelligence Congresses Artificial intelligence Congresses Computer vision Congresses Pattern Recognition, Automated Congresses Pattern perception Congresses Lokalisation (DE-588)4195351-4 gnd Prognose (DE-588)4047390-9 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| subject_GND | (DE-588)16276913-1 (DE-588)4195351-4 (DE-588)4047390-9 (DE-588)4033447-8 (DE-588)1071861417 |
| title | Machine Learning for Protein Subcellular Localization Prediction |
| title_auth | Machine Learning for Protein Subcellular Localization Prediction |
| title_exact_search | Machine Learning for Protein Subcellular Localization Prediction |
| title_full | Machine Learning for Protein Subcellular Localization Prediction Shibiao Wan, Man-Wai Mak |
| title_fullStr | Machine Learning for Protein Subcellular Localization Prediction Shibiao Wan, Man-Wai Mak |
| title_full_unstemmed | Machine Learning for Protein Subcellular Localization Prediction Shibiao Wan, Man-Wai Mak |
| title_short | Machine Learning for Protein Subcellular Localization Prediction |
| title_sort | machine learning for protein subcellular localization prediction |
| topic | Protein (DE-588)16276913-1 gnd Artificial intelligence Computer vision Informatik Pattern perception Künstliche Intelligenz Artificial Intelligence Congresses Artificial intelligence Congresses Computer vision Congresses Pattern Recognition, Automated Congresses Pattern perception Congresses Lokalisation (DE-588)4195351-4 gnd Prognose (DE-588)4047390-9 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| topic_facet | Protein Artificial intelligence Computer vision Informatik Pattern perception Künstliche Intelligenz Artificial Intelligence Congresses Artificial intelligence Congresses Computer vision Congresses Pattern Recognition, Automated Congresses Pattern perception Congresses Lokalisation Prognose Konferenzschrift |
| url | https://doi.org/10.1515/9781501501500 |
| work_keys_str_mv | AT wanshibiao machinelearningforproteinsubcellularlocalizationprediction AT makmanwai machinelearningforproteinsubcellularlocalizationprediction |