In silico modeling predicts drug sensitivity of patient-derived cancer cells

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1479-5876

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: In silico modeling predicts drug sensitivity of patient-derived cancer cells ; volume:12 ; number:1 ; day:21 ; month:5 ; year:2014 ; pages:1-13 ; date:12.2014
Journal of translational medicine ; 12, Heft 1 (21.5.2014), 1-13, 12.2014

Creator: Pingle, Sandeep C.

Contributor: Sultana, Zeba
Pastorino, Sandra
Jiang, Pengfei
Mukthavaram, Rajesh
Chao, Ying
Bharati, Ila Sri
Nomura, Natsuko
Makale, Milan
Abbasi, Taher
Kapoor, Shweta
Kumar, Ansu
Usmani, Shahabuddin
Agrawal, Ashish
Vali, Shireen
Kesari, Santosh
SpringerLink (Online service)

DOI: 10.1186/1479-5876-12-128

URN: urn:nbn:de:1111-2016041447255

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:57 AM CEST

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Pingle, Sandeep C.
Sultana, Zeba
Pastorino, Sandra
Jiang, Pengfei
Mukthavaram, Rajesh
Chao, Ying
Bharati, Ila Sri
Nomura, Natsuko
Makale, Milan
Abbasi, Taher
Kapoor, Shweta
Kumar, Ansu
Usmani, Shahabuddin
Agrawal, Ashish
Vali, Shireen
Kesari, Santosh
SpringerLink (Online service)

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In silico modeling predicts drug sensitivity of patient-derived cancer cells

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Other Objects (12)

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