reflect-package: REFLECT
In korkutlab/reflect: REcurrent Features LEveraged for Combination Therapy
Description
Details
References
Description
REcurrent Features LEveraged for Combination Therapies
Details
REFLECT is to accelerate discovery of combination therapies tailored to multi-omic profiles of cancer patient cohorts with matching oncogenic features. REFLECT identifies co-actionable, co-occurring oncogenic alterations that are recurrent within patient cohorts using genomic, transcriptomic and phosphoproteomic data. The REFLECT predictions are testable hypotheses on responses to drug combinations in specific patient cohorts matched to co-actionable alterations. The analysis of proteomic and transcriptomic signatures in relation to the variant information in patient cohorts also enable prediction of functional rare variants. REFLECT provides a novel, robust and widely applicable precision medicine approach and resource for matching oncogenic alterations to combination therapies.
References
Li X., et al. (2020) Precision combination therapies from recurrent oncogenic co-alterations doi: 10.1101/2020.06.03.132514.
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Description Details References
Description
REcurrent Features LEveraged for Combination Therapies
Details
REFLECT is to accelerate discovery of combination therapies tailored to multi-omic profiles of cancer patient cohorts with matching oncogenic features. REFLECT identifies co-actionable, co-occurring oncogenic alterations that are recurrent within patient cohorts using genomic, transcriptomic and phosphoproteomic data. The REFLECT predictions are testable hypotheses on responses to drug combinations in specific patient cohorts matched to co-actionable alterations. The analysis of proteomic and transcriptomic signatures in relation to the variant information in patient cohorts also enable prediction of functional rare variants. REFLECT provides a novel, robust and widely applicable precision medicine approach and resource for matching oncogenic alterations to combination therapies.
References
Li X., et al. (2020) Precision combination therapies from recurrent oncogenic co-alterations doi: 10.1101/2020.06.03.132514.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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