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Items: 5

1.

Combined gene essentiality scoring improves the prediction of cancer dependency maps.

Wang W, Malyutina A, Pessia A, Saarela J, Heckman CA, Tang J.

EBioMedicine. 2019 Nov 12. pii: S2352-3964(19)30726-1. doi: 10.1016/j.ebiom.2019.10.051. [Epub ahead of print]

2.

Multi-parametric single cell evaluation defines distinct drug responses in healthy hematological cells that are retained in corresponding malignant cell types.

Majumder MM, Leppä AM, Hellesøy M, Dowling P, Malyutina A, Kopperud R, Bazou D, Andersson E, Parsons A, Tang J, Kallioniemi O, Mustjoki S, O'Gorman P, Wennerberg K, Porkka K, Gjertsen BT, Heckman CA.

Haematologica. 2019 Aug 22. pii: haematol.2019.217414. doi: 10.3324/haematol.2019.217414. [Epub ahead of print]

3.

Drug combination sensitivity scoring facilitates the discovery of synergistic and efficacious drug combinations in cancer.

Malyutina A, Majumder MM, Wang W, Pessia A, Heckman CA, Tang J.

PLoS Comput Biol. 2019 May 20;15(5):e1006752. doi: 10.1371/journal.pcbi.1006752. eCollection 2019 May.

4.

DrugComb: an integrative cancer drug combination data portal.

Zagidullin B, Aldahdooh J, Zheng S, Wang W, Wang Y, Saad J, Malyutina A, Jafari M, Tanoli Z, Pessia A, Tang J.

Nucleic Acids Res. 2019 Jul 2;47(W1):W43-W51. doi: 10.1093/nar/gkz337.

5.

Drug Target Commons 2.0: a community platform for systematic analysis of drug-target interaction profiles.

Tanoli Z, Alam Z, Vähä-Koskela M, Ravikumar B, Malyutina A, Jaiswal A, Tang J, Wennerberg K, Aittokallio T.

Database (Oxford). 2018 Jan 1;2018:1-13. doi: 10.1093/database/bay083.

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