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 mining
Papers that mentioned: 2,431
Very Likely Science (100)