Important! The first meeting on February 4, 2022 will be held only as Zoom-meeting. If you want to participate in the seminar, please write us an e-mail, so we can send you the Zoom invitation link.
In order to participate in the seminar you are required to attend the first meeting.
There the topics are distributed. No prior reservation is possible.
Due to the corona pandemic, the first meeting will be held via Zoom. If you like to participate, please register via mail (teaching@bioinf.uni-sb.de).
After you received a topic, please confirm your participation in the seminar until February 11, 2022 via mail to teaching@bioinf.uni-sb.de.
Also, you have to register officially in HISPOS until February 25, 2022.
| # | Paper | Authors | |
|---|---|---|---|
| 1 | Integration of gene interaction information into a reweighted Lasso-Cox model for accurate survival prediction | Wang and Liu | |
| 2 | Predicting correlated outcomes from molecular data | Rauschenberger and Glaab | |
| 3 | Simultaneous prediction of multiple outcomes using revised stacking algorithms | Xing et al. | |
| 4 | MACA: Marker-based automatic cell-type annotation for single cell expression data | Xu et al. | |
| 5 | scMRMA: single cell multiresolution marker-based annotation | Li et al. | |
| 6 | Discriminative prediction of mammalian enhancers from DNA sequence | Lee et al. | |
| 7 | Mixed Integer Linear Programming based machine learning approach identifies regulators of telomerase in yeast | Poos et al. | |
| 8 | Analyzing drug sensitivity prediction based on dose response curve characteristics | Rahman et al. | |
| 9 | Network-based Biased Tree Ensembles (NetBiTE) for Drug Sensitivity Prediction and Drug Sensitivity Biomarker Identification in Cancer | Oskooei et al. | |
| 10 | Predicting transcription factor binding using ensemble random forest model | Ardakani et al. | |
| 11 | DEEPSEN: a convolutional neural network based method for super-enhancer prediction | Bu et al. | |
| 12 | Off-target predictions in CRISPR-Cas9 gene editing using deep learning | Lin and Wong |