Piotr Jaroslaw Chmura
Research programmer
Brunak Group
Blegdamsvej 3, 2200 København N., 06 Bygning 6, Building: 06-2-21
ORCID: 0000-0002-9371-6918
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JIB.tools 2.0 - A Bioinformatics Registry for Journal Published Tools with Interoperability to bio.tools
Friedrichs, M., Shoshi, A., Chmura, Piotr Jaroslaw, Ison, J., Schwammle, V., Schreiber, F., Hofestadt, R. & Sommer, B., 2020, In: Journal of integrative bioinformatics. 16, 8 p., 20190059.Research output: Contribution to journal › Journal article › Research › peer-review
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Community curation of bioinformatics software and data resources
Ison, J., Ménager, H., Brancotte, B., Jaaniso, E., Salumets, A., Raček, T., Lamprecht, A. L., Palmblad, M., Kalaš, M., Chmura, Piotr Jaroslaw, Hancock, J. M., Schwämmle, V. & Ienasescu, H. I., 2020, In: Briefings in Bioinformatics. 21, 5, p. 1697-1705 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Supercomputing and Secure Cloud Infrastructures in Biology and Medicine
Jespersgaard, C., Syed, A., Chmura, Piotr Jaroslaw & Longreen, P., 2020, In: Annual Review of Biomedical Data Science. 3, p. 391-410 20 p.Research output: Contribution to journal › Review › Research › peer-review
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High-throughput sequencing of circulating plasma microRNAs in newly diagnosed type 1 diabetes identifies four different patient clusters
Sebastiani, G., Grieco, G. E., Fignani, D., Chmura, Piotr Jaroslaw, Brorsson, C. A., Bruggraber, S., Pugliese, A., Evans-Molina, C., Knip, M., Peakman, M., Schulte, A. M., Brunak, Søren, Dunger, D. B., Mathieu, C. & Dotta, F., 2020, In: Diabetologia. 63, Suppl. 1, p. S160 1 p.Research output: Contribution to journal › Conference abstract in journal › Research
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Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records
Thorsen-Meyer, H., Nielsen, A. B., Nielsen, A. P., Kaas-Hansen, Benjamin Skov, Toft, P., Schierbeck, J., Strøm, T., Chmura, Piotr Jaroslaw, Heimann, M., Dybdahl, L., Spangsege, L., Hulsen, P., Belling, K., Brunak, Søren & Perner, Anders, 2020, In: The Lancet Digital Health. 2, 4, p. e179–91 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 233701104
Most downloads
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240
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Survival prediction in intensive-care units based on aggregation of long-term disease history and acute physiology: a retrospective study of the Danish National Patient Registry and electronic patient records
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
145
downloads
The bio.tools registry of software tools and data resources for the life sciences
Research output: Contribution to journal › Letter › Research › peer-review
Published -
79
downloads
Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records
Research output: Contribution to journal › Journal article › Research › peer-review
Published