Machine Learning Made Easy (MLme): a comprehensive toolkit for machine learning-driven data analysis.
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| Title: | Machine Learning Made Easy (MLme): a comprehensive toolkit for machine learning-driven data analysis. |
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| Authors: | Akshay A; Functional Urology Research Group, Department for BioMedical Research DBMR, University of Bern, 3008 Bern, Switzerland.; Graduate School for Cellular and Biomedical Sciences, University of Bern, 3012 Bern, Switzerland., Katoch M; Institute of Neuropathology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany., Shekarchizadeh N; Department of Medical Data Science, Leipzig University Medical Centre, 04107 Leipzig, Germany.; Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) Dresden/Leipzig, 04105 Leipzig, Germany., Abedi M; Department of Medical Data Science, Leipzig University Medical Centre, 04107 Leipzig, Germany., Sharma A; KG Jebsen Centre for B-cell Malignancies, Institute for Clinical Medicine, University of Oslo, 0318 Oslo, Norway.; Department of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, 0310 Oslo, Norway., Burkhard FC; Functional Urology Research Group, Department for BioMedical Research DBMR, University of Bern, 3008 Bern, Switzerland.; Department of Urology, Inselspital University Hospital, 3010 Bern, Switzerland., Adam RM; Urological Diseases Research Center, Boston Children's Hospital, 02115 Boston, MA, USA.; Department of Surgery, Harvard Medical School, 02115 Boston, MA, USA.; Broad Institute of MIT and Harvard, Cambridge, 02142 MA, USA., Monastyrskaya K; Functional Urology Research Group, Department for BioMedical Research DBMR, University of Bern, 3008 Bern, Switzerland.; Department of Urology, Inselspital University Hospital, 3010 Bern, Switzerland., Gheinani AH; Functional Urology Research Group, Department for BioMedical Research DBMR, University of Bern, 3008 Bern, Switzerland.; Department of Urology, Inselspital University Hospital, 3010 Bern, Switzerland.; Urological Diseases Research Center, Boston Children's Hospital, 02115 Boston, MA, USA.; Department of Surgery, Harvard Medical School, 02115 Boston, MA, USA.; Broad Institute of MIT and Harvard, Cambridge, 02142 MA, USA. |
| Source: | GigaScience [Gigascience] 2024 Jan 02; Vol. 13. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Oxford University Press Country of Publication: United States NLM ID: 101596872 Publication Model: Print Cited Medium: Internet ISSN: 2047-217X (Electronic) Linking ISSN: 2047217X NLM ISO Abbreviation: Gigascience Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2047-217X |
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| DOI: | 10.1093/gigascience/giad111 |
