| Explore, understand, and develop approaches to make machine learning methods tackle distributional shifts between training and deployment domains |
Sep. 24, 2021 |
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| Developing a software tool to assess the similarity of simulated data and real-world data for evaluating the performance of machine learning methods. |
Sep. 24, 2021 |
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| Developing machine learning methodology/software to better understand how the size of available training data affects prediction performance in real-world settings |
Sep. 24, 2021 |
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| Cancer Diagnosis using Longitudinal Serum RNA Measurements and Machine Learning |
Sep. 16, 2021 |
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| Using machine learning to decipher the adaptive immune system |
July 31, 2021 |
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| Accelerating immunity research through a machine learning software platform |
July 31, 2021 |
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| The effect of splicing mutations in prostate cancer |
Mar. 2, 2021 |
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| Develop improved segmentation algorithms |
Oct. 14, 2020 |
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| Develop novel visualisations of genomic rearrangements in cancer |
Oct. 14, 2020 |
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| Bioinformatics: Simulating the motion of genes |
Feb. 3, 2020 |
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| Bioinformatics: Model the 3D genome of your favorite organism |
Feb. 3, 2020 |
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| Bioinformatics: Associating gene regulatory networks with 3D genome information |
Feb. 3, 2020 |
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| Bioinformatics: Network analysis of the 3D genome |
Feb. 3, 2020 |
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| Searching for small peptides encoded by the human genome |
Oct. 1, 2019 |
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| Optimal analysis of microbiome sequencing data in clinical medicine |
Sep. 25, 2018 |
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| Detecting transcription regulatory networks in cancer |
Sep. 24, 2018 |
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| Clustering cancer omics data with NMF |
Sep. 24, 2018 |
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| Aiming at heterogeneous parallel computing: To overlap or not to overlap? |
Sep. 20, 2018 |
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