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2022-04-20
相关数据集
Additional file 4 of DEGnext: classification of differentially expressed genes from RNA-seq data using a convolutional neural network with transfer learning
Additional file 4. Source codes for transfer learning.
Figshare2022-01-07 更新70
Gene exprssion profile classification predicts clinical outcome in juvenile myelomonocytic leukemia
Gene expression analysis identified a specific signature of differentially expressed genes discriminating good and poor responders in JMML patients. Gene expression signatures were analyzed on two EWO
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Prediction performance of ASD55 trained with P1.
Abbreviations: ASD55, the genes in a classifier developed on P1 with 55 genes listed in Table S4; AUC, area under the receiver operating characteristic curve.
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Gene expression Classification of Colon Cancer defines six molecular subtypes with distinct clinical, molecular and survival characteristics
This SuperSeries is composed of the SubSeries listed below. Overall design: Refer to individual Series
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A gene expression signature classifying telomerase and ALT immortalization
This SuperSeries is composed of the SubSeries listed below. Overall design: Refer to individual Series
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