|
|
|
|
| LEADER |
00000cam a2200000 c 4500 |
| 001 |
1586116185 |
| 003 |
DE-627 |
| 005 |
20240824163652.0 |
| 007 |
tu |
| 008 |
190110s2018 gw ||||| m 00| ||eng c |
| 015 |
|
|
|a 19,H01
|2 dnb
|
| 016 |
7 |
|
|a 117212552X
|2 DE-101
|
| 035 |
|
|
|a (DE-627)1586116185
|
| 035 |
|
|
|a (DE-576)516116185
|
| 035 |
|
|
|a (DE-599)BSZ516116185
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rda
|
| 041 |
|
|
|a eng
|
| 044 |
|
|
|c XA-DE-BW
|
| 082 |
0 |
|
|a 616.994
|q SEPA
|
| 082 |
0 |
4 |
|a 610
|a 570
|q DE-101
|
| 084 |
|
|
|a 32
|2 sdnb
|
| 084 |
|
|
|a 32
|2 sdnb
|
| 084 |
|
|
|a 33
|2 sdnb
|
| 100 |
1 |
|
|a Yang, Mi
|e VerfasserIn
|0 (DE-588)1172471940
|0 (DE-627)1041223498
|0 (DE-576)514639768
|4 aut
|
| 245 |
1 |
0 |
|a Applying machine learning to dervive actionable insights in precision oncology
|c presented by Mi Yang, PharmD, M.Sc. ; referees: Prof. Dr. Benedikt Brors, Prof. Dr. Julio Saez-Rodriguez
|
| 264 |
|
1 |
|a Heidelberg
|c 2018
|
| 300 |
|
|
|a 76 Seiten
|b Illustrationen, Diagramme
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
|
| 338 |
|
|
|a Band
|b nc
|2 rdacarrier
|
| 502 |
|
|
|b Dissertation
|c Ruperto Carola University Heidelberg
|d 2018
|
| 546 |
|
|
|a Mit einer Zusammenfassung in englischer und deutscher Sprache
|
| 583 |
1 |
|
|a Archivierung/Langzeitarchivierung gewährleistet
|f DISS
|x XA-DE-BW
|2 pdager
|5 DE-16
|
| 655 |
|
7 |
|a Hochschulschrift
|0 (DE-588)4113937-9
|0 (DE-627)105825778
|0 (DE-576)209480580
|2 gnd-content
|
| 700 |
1 |
|
|a Brors, Benedikt
|e AkademischeR BetreuerIn
|0 (DE-588)1112102965
|0 (DE-627)866068732
|0 (DE-576)476376157
|4 dgs
|
| 710 |
2 |
|
|a Universität Heidelberg
|e Grad-verleihende Institution
|0 (DE-588)2024349-2
|0 (DE-627)102161488
|0 (DE-576)191769517
|4 dgg
|
| 751 |
|
|
|a Heidelberg
|0 (DE-588)4023996-2
|0 (DE-627)106300814
|0 (DE-576)208952578
|4 uvp
|
| 776 |
0 |
8 |
|i Erscheint auch als
|n Online-Ausgabe
|a Yang, Mi
|t Applying machine learning to derive actionable insights in precision oncology
|d Heidelberg, 2019
|h 1 Online-Ressource (77 Seiten)
|w (DE-627)1682109720
|
| 856 |
4 |
2 |
|u http://d-nb.info/117212552X/04
|m B:DE-101
|q application/pdf
|v 2019-01-09
|x Verlag
|3 Inhaltsverzeichnis
|
| 951 |
|
|
|a BO
|
| 992 |
|
|
|a 20190305
|
| 993 |
|
|
|a Thesis
|
| 998 |
|
|
|g 1172471940
|a Yang, Mi
|m 1172471940:Yang, Mi
|d 140000
|d 140001
|e 140000PY1172471940
|e 140001PY1172471940
|k 0/140000/
|k 1/140000/140001/
|p 1
|x j
|y j
|
| 999 |
|
|
|a KXP-PPN1586116185
|e 3057328075
|
| BIB |
|
|
|a Y
|
| JSO |
|
|
|a {"noteThesis":["Dissertation. - Ruperto Carola University Heidelberg. - 2018"],"physDesc":[{"extent":"76 Seiten","noteIll":"Illustrationen, Diagramme"}],"recId":"1586116185","type":{"bibl":"thesis"},"language":["eng"],"title":[{"title_sort":"Applying machine learning to dervive actionable insights in precision oncology","title":"Applying machine learning to dervive actionable insights in precision oncology"}],"id":{"eki":["1586116185"]},"corporate":[{"display":"Universität Heidelberg","role":"dgg"}],"person":[{"display":"Yang, Mi","family":"Yang","role":"aut","given":"Mi"},{"display":"Brors, Benedikt","family":"Brors","given":"Benedikt","role":"dgs"}],"name":{"displayForm":["presented by Mi Yang, PharmD, M.Sc. ; referees: Prof. Dr. Benedikt Brors, Prof. Dr. Julio Saez-Rodriguez"]},"origin":[{"dateIssuedKey":"2018","dateIssuedDisp":"2018","publisherPlace":"Heidelberg"}]}
|
| SRT |
|
|
|a YANGMIAPPLYINGMA2018
|
