Papers matching “machine learning workflow” 46
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immuneML: an ecosystem for machine learning analysis of adaptive immune receptor repertoires2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology vaccines and immunoinformatics approaches Open access
Milena Pavlović, Lonneke Scheffer, Keshav Motwani, Chakravarthi Kanduri, Radmila Kompova, Nikolay Vazov, +37 more
17citations -
Machine learning in the identification of prognostic DNA methylation biomarkers among patients with cancer: a systematic review of epigenome-wide studies2022 medRxiv preprint Biochemistry, Genetics and Molecular Biology Epigenetics and DNA Methylation Open access
Tanwei Yuan, Dominic Edelmann, Ziwen Fan, Elizabeth Alwers, Jakob Nikolas Kather, Hermann Brenner, +1 more
3citations -
FLAG-X: Hybrid machine learning workflows for automated gating of clinical flow cytometry data2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access
Paul Martini, Marziyeh Mohammadi, Michael Christoph Thrun, David B. Blumenthal, Stefan W. Krause
0citations -
SALTED: a symmetry-adapted machine-learning program for predicting electron-densities in molecules and materials2026 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access
Zekun Lou, Alan M. Lewis, T. Bernhard, Lukas Seifert, Agustin Salcedo, Florian Kleemiss, +2 more
0citations -
Advancing Machine Learning for Stellar Activity and Exoplanet Period Rotation2024 arXiv (Cornell University) preprint Physics and Astronomy Stellar, planetary, and galactic studies Open access
Fatemeh Fazel Hesar, Bernard H. Foing, Ana Maria Heras, Mojtaba Raouf, Victoria Foing, Shima Javanmardi, +1 more
0citations -
Pandemic Drugs at Pandemic Speed: Infrastructure for Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers2021 arXiv (Cornell University) preprint Computer Science Computational Drug Discovery Methods Open access
Agastya P. Bhati, Shunzhou Wan, Austin Clyde, Mathis Bode, Mikhail Titov, André Merzky, +20 more
42citations -
Tree-Based Learning on Amperometric Time Series Data Demonstrates High Accuracy for Classification2023 arXiv (Cornell University) preprint Chemistry Electrochemical Analysis and Applications Open access
Jeyashree Krishnan, Zeyu Lian, Pieter E. Oomen, Xiulan He, Soodabeh Majdi, Andreas Schuppert, +1 more
1citations -
Explainable Comparison of Feature-Based and Deep Learning Models for TROPOMI Methane Plume Screening2026 arXiv (Cornell University) preprint Environmental Science Atmospheric and Environmental Gas Dynamics Open access
Solomiia Kurchaba, Joannes D. Maasakkers, Berend J. Schuit, Ilse Aben
0citations -
Bridging HPC Communities through the Julia Programming Language2022 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access
Valentin Churavy, William F. Godoy, Carsten Bauer, Hendrik Ranocha, Michael Schlottke‐Lakemper, Ludovic Räss, +6 more
18citations -
bletl - A Python Package for Integrating Microbioreactors in the Design-Build-Test-Learn Cycle2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Microbial Metabolic Engineering and Bioproduction Open access
Michael Osthege, Niklas Tenhaef, Rebecca Zyla, Carolin Müller, Johannes Hemmerich, Wolfgang Wiechert, +2 more
3citations