Papers: 10.1371/journal.pone.0193689
https://doi.org/10.1371/journal.pone.0193689
A streamlined workflow for single-cells genome-wide copy-number profiling by low-pass sequencing of LM-PCR whole-genome amplification products
Cited by: 20
Author(s): Alberto Ferrarini, Claudio Forcato, Genny Buson, Paola Tononi, Valentina Del Monaco, Mario Terracciano, Chiara Bolognesi, Francesca Fontana, Gianni Medoro, Rui P. Neves, Birte Möhlendick, Karim Rihawi, Andrea Ardizzoni, Semini Sumanasuriya, Penny Flohr, Maryou B. Lambros, Johann S. de Bono, Nikolas H. Stoecklein, Nicolò Manaresi
Published: over 8 years ago
Software Mentions 1
pypi: scikit-learn
A set of python modules for machine learning and data miningPapers that mentioned: 2,431
Very Likely Science (100)