davidechicco.wordpress.com
Contacts | DavideChicco.it
https://davidechicco.wordpress.com/contatti
Machine learning and bioinformatics at the Princess Margaret Cancer Centre, University of Toronto. Mail: davide.chicco(AT)gmail.com. Phone: 1.416.634.87.36. Skype id: davide chicco. Princess Margaret Cancer Centre. Toronto Medical Discovery Tower 11-401. One thought on “ Contacts. Oh , I also will sent you a skype request for the possibility to communicate The request would be from Skype name : arseniy.chernykh (Irvine). Leave a Reply Cancel reply. Enter your comment here. Address never made public).
davidechicco.wordpress.com
Support our running team at OneWalk.ca! | DavideChicco.it
https://davidechicco.wordpress.com/2015/06/29/support-our-running-team-at-onewalk-ca
Machine learning and bioinformatics at the Princess Margaret Cancer Centre, University of Toronto. Support our running team at OneWalk.ca! Our research group will have a team at OneWalk.ca run, an important event to collect money for cancer scientific research. The run will happen on Sunday 12th September 2015, and we’re collecting money for our goal. You’re invited to make a donation and/or to participate to the run. Princess Margaret Cancer Foundation. New journal paper published on BMC Bioinformatics.
davidechicco.wordpress.com
Software | DavideChicco.it
https://davidechicco.wordpress.com/software
Machine learning and bioinformatics at the Princess Margaret Cancer Centre, University of Toronto. I developed some of the functionalities of Bio-SeCo, a bioinformatics Search Computing platform. Able to answer to complex multi-domain biological questions and provide ranked results. You can access to Search Computing by clicking on the following image. To cite Bio-SeCo in your papers:. D Chicco, M. Masseroli,. 8220;Software suite for gene and protein annotation prediction and similarity search”. Permissi...
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Great readings | DavideChicco.it
https://davidechicco.wordpress.com/other-stuff
Machine learning and bioinformatics at the Princess Margaret Cancer Centre, University of Toronto. Here’s some very interesting stuff I suggest you to read. It’s about doin’ scientific research, runnin’ experiments, and takin’ the initiative:. 8220;You and your research”. By Richard Hamming (1986). 8220;Cargo cult science”. By Richard Feynman (1974). 8220;Ma le formiche non crescono”. Di Francesco Daveri (2010). 8220;Rules for academic managers”. By Chih-Jen Lin (2006). Leave a Reply Cancel reply. Projec...
b081-unito.prod.cineca.it
Le risorse del mese | Biblioteca Federata di Medicina "Ferdinando Rossi"
https://b081-unito.prod.cineca.it/it/node/891
Salta al contenuto principale. Biblioteca Federata di Medicina "Ferdinando Rossi". Sedi e orari di apertura. Supporto a IRIS, OA e bibliometria. Usare le banche dati. Leggere e valutare la letteratura biomedica. Scrivere un articolo scientifico. Le risorse del mese. The Joanna Briggs Institute. La Biblioteca Federata di Medicina F. Rossi ha acquistato la banca dati The Joanna Briggs Institute. JBI), organizzazione scientifica no profit con sede presso la Faculty Health of Sciences-University of Adelaide.
davidechicco.wordpress.com
Open positions | DavideChicco.it
https://davidechicco.wordpress.com/join-our-lab
Machine learning and bioinformatics at the Princess Margaret Cancer Centre, University of Toronto. Fellows in machine learning and bioinformatics. The Hoffman Lab at the Princess Margaret Cancer Centre. And the University of Toronto. We seek postdoctoral fellows for several projects in computational genomics. 1 Integrating epigenomic and sequence data to better understand human gene regulation. 2 Creating models of transcription factor binding that allow us to predict the effects of perturbations. Prefer...
davidechicco.wordpress.com
Scientific research | DavideChicco.it
https://davidechicco.wordpress.com/ricerca-scientifica
Machine learning and bioinformatics at the Princess Margaret Cancer Centre and University of Toronto. Prediction of long-range interactions in chromatin. Here at the Princess Margaret Cancer Centre, I have been working on designing and developing machine-learning methods to predict long-range interactions in chromatin, starting from DNase-Seq data and Hi-C data. My computational pipeline applies a deep learning algorithm. Prediction of Gene Ontology (GO) annotations. Leave a Reply Cancel reply. Stefano C...
