Library
Scientific Electronic Library
Dear reader!
NSCEDI has official access to the electronic databases of Clarivate Analytics, Medline, Google Scholar, Springer, and RSCI.
Using these sources, you can find articles from the best international scientific journals.
To refer to the electronic database, please follow the links below:
URL:https://scholar.google.ru/
URL:https://www.springer.com/gp
URL: https://elibrary.ru/project_risc.asp
— https://www.ibm.com/blogs/research/2019/07/ai-tools-for-cancer-research;
— https://hightech.plus/2019/07/25/ibm-otkrila-dostup-k-trem-ii-instrumentam-dlya-borbi-s-rakom;
— on the IBM Zurich lab page
https://www.zurich.ibm.com/compsysbio/research.html;
— research tab (already open developments are available)
https://www.zurich.ibm.com/compsysbio/software.html;
— PaccMann — Prediction of anticancer compound sensitivity with multi-modal attention-based neural networks
— https://www.zurich.ibm.com/paccmann
— INtERAcT — Automtic text mining and analysis
https://www.zurich.ibm.com/interact;
— PIMKL — Pathway-induced multiple kernel learning.
https://www.zurich.ibm.com/pimkl;
— CellCycleTRACER — A novel computational method to quantify cell cycle and cell volume variability.
https://www.zurich.ibm.com/cellcycletracer;
— Chimaera — Estimating the frequency of genetic alterations.
https://www.zurich.ibm.com/chimaera;
— Cosifer — Consensus inference of molecular networks.
https://www.zurich.ibm.com/cosifer.