Prediction of Developmental Chemical Toxicity based on Gene Networks of Human Embryonic Stem Cells (Supplementary Page)
Yamane J, Aburatani S, Imanishi S, Akanuma H, Nagano R, Kato T, Sone H, Ohsako S and Fujibuchi W.
Nucleic Acids Res. 44(12):5515-5528, 2016.

References:

(Fujibuchi, W., Aburatani, S., Yamane, J., Imanishi, S., Akanuma, H., Sone, H., Ohsako, S. Prediction of Chemical Toxicity by Network-based SVM on ES-cell Validation System, The Proceedings of the 2011 Joint Conference of CBI-Society and JSBi, Kobe (2011). ).

Supplemental files for chemical exposure measurements:

1. Illumina microarray data for 10 representative chemicals

all data(illumina_analysis.tgz) or download from GEO(GSE60154)

2. qRT-PCR data for 22 toxic chemicals and control

all data(sample_preparation_and_qRT-PCR_data.zip)

Supplemental files for gene network-based predictions:

3. TAOgen, Bayesian network inference program based on Gibbs-sampling

Replica-exchange TAOgen software(RX-TAOgen.tgz)
TAOgen algorithm in preprint(Supplement_methods_GIN_using_GST.pdf)

4. Kernel-SVM program is available from here:

http://www.net-machine.net/~kato/kemba-svm1-ts/.

5. QSARs (Quantative Strucuture-Activity Relationships) data

1,665 molecular descriptors generated from E-Dragon for 22 toxic chemicals

Erratum: Corrected Supplementary Table S3 (August 19, 2018).

In Table S3 published in Nuclec Acids Research, we mistakenly put wrong sequences for eight primers. The corrected primer sequences are here: Erratum Supplementary Table S3.xlsx. We apologize for any inconveniences.