Data required to reproduce the results/figures of the "Predicting patient treatment response and resistance via single-cell transcriptomics of their tumors" project.Please download this and put it in the folder "SCPO_submission" downloaded from "https://github.com/ruppinlab/SCPO_submission"
Precision medicine is a rapidly growing area of modern medical science and open source machine-learn...
A major challenge in oncology is the selection of the most effective chemotherapeutic agents for ind...
is available at the end of the articleBackground Patients suffering from cancer are usually treated ...
Data required to reproduce the results/figures of the "Predicting patient treatment response and res...
This submission contains the compiled count tables and processed R objects accompanying our manuscri...
Heterogeneity exists inter- and intratumorally, which might lead to different drug responses. Theref...
This submission contains the compiled count table, processed R objects and various scripts and outpu...
Extensive efforts in cancer research over the past decades have markedly improved diagnosis and trea...
DeepPT codes in the manuscript "Prediction of cancer treatment response from histopathology images t...
International audiencePredicting drug response is a challenging problem in oncology. In the 1975-198...
Abstract Background First-generation molecular profiles for human breast cancers have enabled the id...
Ovarian cancer is the fifth-leading cause of cancer in women; afflicting 22,240 women in 2013 and an...
Personalized medicine approaches for cancer therapy seek to determine optimal therapies for cancer p...
Prediction of clinical drug response (CDR) of cancer patients, based on their clinical and molecular...
Supt. of Docs. no.: HE20.3162:34.Editor: Thomas C. Hall.Sympsoium held Fed. 19-21, 1970 in Williamsb...
Precision medicine is a rapidly growing area of modern medical science and open source machine-learn...
A major challenge in oncology is the selection of the most effective chemotherapeutic agents for ind...
is available at the end of the articleBackground Patients suffering from cancer are usually treated ...
Data required to reproduce the results/figures of the "Predicting patient treatment response and res...
This submission contains the compiled count tables and processed R objects accompanying our manuscri...
Heterogeneity exists inter- and intratumorally, which might lead to different drug responses. Theref...
This submission contains the compiled count table, processed R objects and various scripts and outpu...
Extensive efforts in cancer research over the past decades have markedly improved diagnosis and trea...
DeepPT codes in the manuscript "Prediction of cancer treatment response from histopathology images t...
International audiencePredicting drug response is a challenging problem in oncology. In the 1975-198...
Abstract Background First-generation molecular profiles for human breast cancers have enabled the id...
Ovarian cancer is the fifth-leading cause of cancer in women; afflicting 22,240 women in 2013 and an...
Personalized medicine approaches for cancer therapy seek to determine optimal therapies for cancer p...
Prediction of clinical drug response (CDR) of cancer patients, based on their clinical and molecular...
Supt. of Docs. no.: HE20.3162:34.Editor: Thomas C. Hall.Sympsoium held Fed. 19-21, 1970 in Williamsb...
Precision medicine is a rapidly growing area of modern medical science and open source machine-learn...
A major challenge in oncology is the selection of the most effective chemotherapeutic agents for ind...
is available at the end of the articleBackground Patients suffering from cancer are usually treated ...
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