cancer: Microarray data set for breast cancer
In jeek: A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models
Description
Usage
Format
Details
References
Description
et al's paper. It concerns one hundred thirty-three patients with
stage I–III breast cancer. Patients were treated with chemotherapy prior
to surgery. Patient response to the treatment can be classified as either a
pathologic complete response (pCR) or residual disease (not-pCR). Hess
et al developed and tested a reliable multigene predictor for
treatment response on this data set, composed by a set of 26 genes having a
high predictive value.
Usage
1
Format
a list of two objects: dataframe with 133 observations of 26 features and
factors indicating whether each sample (out of 133) is of type "not" or type "pcr"
Details
The dataset splits into 2 parts (pCR and not pCR), on which network
inference algorithms should be applied independently or in the multitask
framework: only individuals from the same classes should be consider as
independent and identically distributed.
References
J.A. Mejia, D. Booser, R.L. Theriault, U. Buzdar, P.J. Dempsey, R. Rouzier,
N. Sneige, J.S. Ross, T. Vidaurre, H.L. Gomez, G.N. Hortobagyi, and L.
Pustzai (2006). Pharmacogenomic predictor of sensitivity to preoperative
chemotherapy with Paclitaxel and Fluorouracil, Doxorubicin, and
Cyclophosphamide in breast cancer, Journal of Clinical Oncology, vol.
24(26), pp. 4236–4244.
jeek documentation built on May 2, 2019, 12:52 a.m.
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Description Usage Format Details References
Description
et al's paper. It concerns one hundred thirty-three patients with stage I–III breast cancer. Patients were treated with chemotherapy prior to surgery. Patient response to the treatment can be classified as either a pathologic complete response (pCR) or residual disease (not-pCR). Hess et al developed and tested a reliable multigene predictor for treatment response on this data set, composed by a set of 26 genes having a high predictive value.
Usage
1 |
Format
a list of two objects: dataframe with 133 observations of 26 features and factors indicating whether each sample (out of 133) is of type "not" or type "pcr"
Details
The dataset splits into 2 parts (pCR and not pCR), on which network inference algorithms should be applied independently or in the multitask framework: only individuals from the same classes should be consider as independent and identically distributed.
References
J.A. Mejia, D. Booser, R.L. Theriault, U. Buzdar, P.J. Dempsey, R. Rouzier, N. Sneige, J.S. Ross, T. Vidaurre, H.L. Gomez, G.N. Hortobagyi, and L. Pustzai (2006). Pharmacogenomic predictor of sensitivity to preoperative chemotherapy with Paclitaxel and Fluorouracil, Doxorubicin, and Cyclophosphamide in breast cancer, Journal of Clinical Oncology, vol. 24(26), pp. 4236–4244.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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