Harnessing synthetic lethality to predict the response to cancer treatment.

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Harnessing synthetic lethality to predict the response to cancer treatment.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年學術文章

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2018年學術文章

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2018年學術文章

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Harnessing synthetic lethality to predict the response to cancer treatment.

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Harnessing synthetic lethality to predict the response to cancer treatment.

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label

Harnessing synthetic lethality to predict the response to cancer treatment.

@en

Harnessing synthetic lethality to predict the response to cancer treatment.

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Harnessing synthetic lethality to predict the response to cancer treatment.

@en

Harnessing synthetic lethality to predict the response to cancer treatment.

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P1476

Harnessing synthetic lethality to predict the response to cancer treatment

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Arnaud Amzallag

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Avinash Das

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Chani Stossel

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Cyril H Benes

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Daniel James

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Dikla Atias

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Ella Buzhor

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Emma Shanks

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Eytan Ruppin

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Gidi Stein

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P2860

The Cancer Genome Atlas Pan-Cancer analysis project

A genome-wide RNAi screen identifies multiple synthetic lethal interactions with the Ras oncogene

Genetic interaction networks: better understand to better predict

Hierarchical modularity and the evolution of genetic interactomes across species.

Prediction of Genetic Interactions Using Machine Learning and Network Properties

The concept of synthetic lethality in the context of anticancer therapy

Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for microarray data analysis

Predicting human genetic interactions from cancer genome evolution

A Synthetic Lethality Screen Using a Focused siRNA Library to Identify Sensitizers to Dasatinib Therapy for the Treatment of Epithelial Ovarian Cancer

Integration of biological networks and gene expression data using Cytoscape

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s41467-018-04647-1

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2546

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scholarly article

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10.1038/S41467-018-04647-1

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English

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P478

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P577

2018-06-29T00:00:00Z

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1105107290

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29959327

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6026173

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