[HTML][HTML] Big data to knowledge: application of machine learning to predictive modeling of therapeutic response in cancer
S Panja, S Rahem, CJ Chu, A Mitrofanova - Current genomics, 2021 - ncbi.nlm.nih.gov
Background In recent years, the availability of high throughput technologies, establishment
of large molecular patient data repositories, and advancement in computing power and …
of large molecular patient data repositories, and advancement in computing power and …
Modeling cancer drug response through drug-specific informative genes
Recent advances in pharmacogenomics have generated a wealth of data of different types
whose analysis have helped in the identification of signatures of different cellular …
whose analysis have helped in the identification of signatures of different cellular …
A gentle introduction to understanding preclinical data for cancer pharmaco-omic modeling
C Piyawajanusorn, LC Nguyen, G Ghislat… - Briefings in …, 2021 - academic.oup.com
A central goal of precision oncology is to administer an optimal drug treatment to each
cancer patient. A common preclinical approach to tackle this problem has been to …
cancer patient. A common preclinical approach to tackle this problem has been to …
Paclitaxel response can be predicted with interpretable multi-variate classifiers exploiting DNA-methylation and miRNA data
A Bomane, A Gonçalves, PJ Ballester - Frontiers in genetics, 2019 - frontiersin.org
To address the problem of resistance to paclitaxel treatment, we have investigated to which
extent is possible to predict Breast Cancer (BC) patient response to this drug. We carried out …
extent is possible to predict Breast Cancer (BC) patient response to this drug. We carried out …
Concise polygenic models for cancer-specific identification of drug-sensitive tumors from their multi-omics profiles
In silico models to predict which tumors will respond to a given drug are necessary for
Precision Oncology. However, predictive models are only available for a handful of cases …
Precision Oncology. However, predictive models are only available for a handful of cases …
Prediction of the immune phenotypes of bladder cancer patients for precision oncology
Bladder cancer (BC) is the most common urinary malignancy; however accurate diagnosis
and prediction of recurrence after therapies remain elusive. This study aimed to develop a …
and prediction of recurrence after therapies remain elusive. This study aimed to develop a …
[PDF][PDF] Prediction of the Immune Phenotypes of Bladder Cancer Patients for Precision Oncology
W KIM, J KIM - ieeexplore.ieee.org
Bladder cancer (BC) is the most common urinary malignancy; however accurate diagnosis
and prediction of recurrence after therapies remain elusive. This study aimed to develop a …
and prediction of recurrence after therapies remain elusive. This study aimed to develop a …