- 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 ...🔍
- Machine Learning Prediction of Cancer Cell Sensitivity to Drugs ...🔍
- Predicting cancer drug TARGETS🔍
- Predict drug sensitivity of cancer cells with pathway activity inference🔍
- Improving drug response prediction via integrating gene ...🔍
Gene expression based inference of cancer drug sensitivity
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
Gene expression based inference of drug resistance in cancer. Smriti ... Cancer Cell Line Encyclopedia (CCLE)7 and Genomics of Drug Sensitivity in ...
Predicting tumor response to drugs based on gene-expression ...
In this work, we built predictive models for 453 drugs using data on gene expression and drug sensitivity (IC50) from cancer cell lines. We ...
(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 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 cancer drug sensitivity
In this study, we introduce Precily, a predictive modeling approach to infer treatment response in cancers using gene expression data. In this ...
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.
Explainable drug sensitivity prediction through cancer pathway ...
Within precision oncology, using the molecular signatures of targeted genes has been useful for targeted therapy. The use of machine learning algorithms has ...
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 ...
Machine Learning Prediction of Cancer Cell Sensitivity to Drugs ...
Various computational approaches have been proposed to predict sensitivity based on genomic features, while others have used the chemical properties of the ...
Predicting cancer drug TARGETS - TreAtment Response ... - Nature
Gene expression was Log2 transformed, scaled to the median of the cohort, and treated as a continuous variable. We filtered variant and ...
Gene expression based inference of cancer drug sensitivity - Altmetric
Gene expression based inference of cancer drug sensitivity · Nature Communications, September 2022 · 10.1038/s41467-022-33291-z · 36167836.
Predict drug sensitivity of cancer cells with pathway activity inference
Raw gene expression and drug response data (IC50) were collected from the CCLE for 24 drugs. Specifically, raw gene expression data (Affymetrix ...
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 ...
Publications | Infosys Centre for AI
Gene expression based inference of cancer drug sensitivity ; Authors. * External authors ; Authors. Debarka Sengupta ; Published. September 27, ...
The prediction of drug sensitivity by multi-omics fusion reveals the ...
Cancer drug response prediction based on genomic information plays a crucial role in modern pharmacogenomics, enabling individualized therapy. Given the ...
Pan-Cancer Prediction of Cell-Line Drug Sensitivity Using Network ...
Our study proposes a novel network-based methodology that breaks the problem into smaller, more interpretable problems to improve the predictive power of anti- ...
arXiv:2005.00095v2 [cs.LG] 4 May 2020
The gene expression datasets for cancer cell ... Genetic polymorphism and function of glutathione s-transferases in tumor drug resistance.
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 ...
CanCellVar: A database for single-cell variants map in human cancer
38. Chawla, S. ∙ Rockstroh, A. ∙ Lehman, M. ... Gene expression based inference of cancer drug sensitivity. Nat. Commun. 2022; 13:5680.