Network-guided identification of cancer-selective combinatorial therapies in ovarian cancer
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Network-guided identification of cancer-selective combinatorial therapies in ovarian cancer
Authors
Keywords
-
Journal
BRIEFINGS IN BIOINFORMATICS
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2021-06-26
DOI
10.1093/bib/bbab272
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Patient-tailored design for selective co-inhibition of leukemic cell subpopulations
- (2021) Aleksandr Ianevski et al. Science Advances
- PRISM: recovering cell-type-specific expression profiles from individual composite RNA-seq samples
- (2021) Antti Häkkinen et al. BIOINFORMATICS
- Breeze: an integrated quality control and data analysis application for high-throughput drug screening
- (2020) Swapnil Potdar et al. BIOINFORMATICS
- Methodological challenges in translational drug response modeling in cancer: A systematic analysis with FORESEE
- (2020) Lisa-Katrin Schätzle et al. PLoS Computational Biology
- Rational Cancer Treatment Combinations: An Urgent Clinical Need
- (2020) Julia Boshuizen et al. MOLECULAR CELL
- Patient‐specific logic models of signaling pathways from screenings on cancer biopsies to prioritize personalized combination therapies
- (2020) Federica Eduati et al. Molecular Systems Biology
- Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cells
- (2020) Brent M. Kuenzi et al. CANCER CELL
- Integration of the Drug–Gene Interaction Database (DGIdb 4.0) with open crowdsource efforts
- (2020) Sharon L Freshour et al. NUCLEIC ACIDS RESEARCH
- Updates and New Options in Advanced Epithelial Ovarian Cancer Treatment
- (2020) Katherine C. Kurnit et al. OBSTETRICS AND GYNECOLOGY
- Computationally predicting clinical drug combination efficacy with cancer cell line screens and independent drug action
- (2020) Alexander Ling et al. Nature Communications
- Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects
- (2020) Heli Julkunen et al. Nature Communications
- Treatment of Patients with Recurrent Epithelial Ovarian Cancer for Whom Platinum is Still an Option
- (2019) M Buechel et al. ANNALS OF ONCOLOGY
- An organoid platform for ovarian cancer captures intra- and interpatient heterogeneity
- (2019) Oded Kopper et al. NATURE MEDICINE
- Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
- (2019) Michael P. Menden et al. Nature Communications
- Applying synergy metrics to combination screening data: agreements, disagreements and pitfalls
- (2019) Anna H.C. Vlot et al. DRUG DISCOVERY TODAY
- Patient-Customized Drug Combination Prediction and Testing for T-cell Prolymphocytic Leukemia Patients
- (2018) Liye He et al. CANCER RESEARCH
- CADD: predicting the deleteriousness of variants throughout the human genome
- (2018) Philipp Rentzsch et al. NUCLEIC ACIDS RESEARCH
- Gene isoforms as expression-based biomarkers predictive of drug response in vitro
- (2017) Zhaleh Safikhani et al. Nature Communications
- Establishment of Patient-Derived Tumor Xenograft Models of Epithelial Ovarian Cancer for Preclinical Evaluation of Novel Therapeutics
- (2016) Joyce F. Liu et al. CLINICAL CANCER RESEARCH
- Modelling of compound combination effects and applications to efficacy and toxicity: state-of-the-art, challenges and perspectives
- (2016) Krishna C. Bulusu et al. DRUG DISCOVERY TODAY
- Quantitative scoring of differential drug sensitivity for individually optimized anticancer therapies
- (2014) Bhagwan Yadav et al. Scientific Reports
- Individualized Systems Medicine Strategy to Tailor Treatments for Patients with Chemorefractory Acute Myeloid Leukemia
- (2013) T. Pemovska et al. Cancer Discovery
- Signaling Network Assessment of Mutations and Copy Number Variations Predict Breast Cancer Subtype-Specific Drug Targets
- (2013) Naif Zaman et al. Cell Reports
- Combinatorial drug therapy for cancer in the post-genomic era
- (2012) Bissan Al-Lazikani et al. NATURE BIOTECHNOLOGY
- Systematic investigation of genetic vulnerabilities across cancer cell lines reveals lineage-specific dependencies in ovarian cancer
- (2011) H. W. Cheung et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started