Important! The first meeting on July 15, 2022 will be held only as Zoom-meeting.
Important! The capacity for this seminar is reached. Registration is no longer possible for this summer semester. Thank you for your understanding
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.
After you received a topic, please confirm your participation in the seminar until July 29, 2022 via mail to teaching@bioinf.uni-sb.de.
Also, you have to register officially in HISPOS until August 05, 2022.
| # | Paper | Authors | |
|---|---|---|---|
| 1 | Predicting correlated outcomes from molecular data | Rauschenberger and Glaab | |
| 2 | Simultaneous prediction of multiple outcomes using revised stacking algorithms | Xing et al. | |
| 3 | Mixed Integer Linear Programming based machine learning approach identifies regulators of telomerase in yeast | Poos et al. | |
| 4 | Network-based Biased Tree Ensembles (NetBiTE) for Drug Sensitivity Prediction and Drug Sensitivity Biomarker Identification in Cancer | Oskooei et al. | |
| 5 | Off-target predictions in CRISPR-Cas9 gene editing using deep learning | Lin and Wong | |
| 6 | SEACells: Inference of transcriptional and epigenomic cellular states from single-cell genomics data | Persad et al. | |
| 7 | Anticancer drug synergy prediction in understudied tissues using transfer learning | Kim et al. | |
| 8 | Clustering Single-Cell Expression Data Using Random Forest Graphs | Pouyan et al. | |
| 9 | A machine learning method for the discovery of minimum marker gene combinations for cell type identification from single-cell RNA sequencing | Aevermann et al. | |
| 10 | PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector Machine | Manavalan | |
| 11 | Predicting enhancers in mammalian genomes using supervised hidden Markov models | Zehnder et al. | |
| 12 | StackEPI: identification of cell line-specific enhancer–promoter interactions based on stacking ensemble learning | Fan and Peng | |
| 13 | RWEN: response-weighted elastic net for prediction of chemosensitivity of cancer cell lines | Basu et al. |