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Modeling drug response in cancer cell linesusing genotype and high-throughput“omics” data
KTH, School of Computer Science and Communication (CSC).
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2015. , 107 p.
National Category
Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:kth:diva-166744OAI: oai:DiVA.org:kth-166744DiVA: diva2:812046
External cooperation
Science for Life Laboratory (SciLifeLab), Stockholm
Subject / course
Scientific Computing
Presentation
2015-03-10, 14:00 (English)
Examiners
Available from: 2015-05-28 Created: 2015-05-15 Last updated: 2015-05-28Bibliographically approved

Open Access in DiVA

pestana_report.pdf(1898 kB)75 downloads
File information
File name FULLTEXT01.pdfFile size 1898 kBChecksum SHA-512
8a4cfca21ca672061d9acca327264f32f9480411b10f2cb374b4259ba8a73d28e76fb8b834daaec6e30bbc8c735239a0d52336c35819bc6e94738603631ef519
Type fulltextMimetype application/pdf

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Bioinformatics (Computational Biology)

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
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Output format
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