- Gene expression based inference of cancer drug sensitivity🔍
- Gene expression based inference of drug resistance in cancer🔍
- Predicting tumor response to drugs based on gene|expression ...🔍
- Explainable drug sensitivity prediction through cancer pathway ...🔍
- Systematic prediction of drug resistance caused by transporter ...🔍
- Modeling cancer drug response through drug|specific informative ...🔍
- Improving drug response prediction via integrating gene ...🔍
- Gene expression|based chemical genomics identifies rapamycin as ...🔍
Gene expression based inference of drug resistance in cancer
Gene expression based inference of cancer drug sensitivity - Nature
In this study, we introduce Precily, a predictive modeling approach to infer treatment response in cancers using gene expression data.
Gene expression based inference of drug resistance in cancer
To summarise, we benchmarked the proposed approach on cancer RNA-seq data, obtained from cell lines, xenografts, as well as humans. We concluded ...
Gene expression based inference of drug resistance in cancer
Gene expression based inference of drug resistance in cancer. Smriti Chawla1, Anja Rockstroh2, Melanie Lehman2,3, Ellca Rather2, Atishay ...
Predicting tumor response to drugs based on gene-expression ...
Human cancer cell line profiling and drug sensitivity studies provide valuable information about the therapeutic potential of drugs and ...
Explainable drug sensitivity prediction through cancer pathway ...
The cell-line-based features include pathway enrichment scores for gene expression (denoted as EXP), mutation (denoted as MUT-Net) and copy-number variation ( ...
(PDF) Gene expression based inference of cancer drug sensitivity
DeepCDR demonstrates the benefits of leveraging multi-omics data of cancer cell lines. Chawla et al. [13] proposed a predictive method to infer ...
Gene expression based inference of cancer drug sensitivity
In this study, we introduce Precily, a predictive modeling approach to infer treatment response in cancers using gene expression data.
Systematic prediction of drug resistance caused by transporter ...
There are a few data-driven studies examining the associations between transporters' gene expression levels and drug resistance across cancer ...
Modeling cancer drug response through drug-specific informative ...
Among the different data types, gene expression has proven to be the more successful for the inference of drug response in cancer cell lines.
Improving drug response prediction via integrating gene ...
Predicting the drug response of cancer cell lines is crucial for advancing personalized cancer treatment, yet remains challenging due to tumor ...
Gene expression based inference of cancer drug sensitivity - OUCI
AbstractInter and intra-tumoral heterogeneity are major stumbling blocks in the treatment of cancer and are responsible for imparting differential drug ...
Gene expression-based chemical genomics identifies rapamycin as ...
Drug resistance remains a major obstacle to successful cancer treatment. A database of drug-associated gene expression profiles was screened for molecules ...
DRMref: comprehensive reference map of drug resistance ...
Additionally, the dot plot was used to show the expression status of this gene across all datasets, time points and cell types, where red ...
Survival prediction and analysis of drug-resistance genes in HER2 ...
As shown before, 3 three crucial genes (MED1, MED24, and NMD3) mediating drug resistance of breast cancer were selected and obtained. These ...
Predict drug sensitivity of cancer cells with pathway activity inference
As an alternative, pathway activity scores derived from gene expression could predict drug response of cancer cells. ... based on gene expression ...
Differential regulatory network-based quantification and prioritization ...
Leveraging global gene expression patterns to study dynamical mechanisms of cancer drug resistance is an appealing yet challenging task for both ...
Network‐Based Inference Framework for Identifying Cancer Genes ...
Though they have been applied to identification of biomarkers relevant to cancer developing or progressing, the gene-based approaches suffer ...
Application of perturbation gene expression profiles in drug ...
Other methods, like MIX-Seq (McFarland et al., 2020), use a smaller number of chemical perturbations (anti-cancer drugs), but measure gene expression profiles ...
Identifying Key Regulatory Genes in Drug Resistance Acquisition
Despite recent advancements in experimental technology for genome-wide molecular profiling, our understanding of the dynamic mechanism underlying cancer ...
Gene Expression–Based Algorithms For The Identification Of Drug ...
One possible solution to drug resistance is the use of combination therapies rather than monotherapies. Use of multiple drugs, each with a different mechanism ...