TRI_tool: a web-tool for prediction of protein-protein interactions in human transcriptional regulation
Samo za registrovane korisnike
2017
Autori
Perović, Vladimir R.Šumonja, Neven
Gemović, Branislava S.
Toska, Eneda
Roberts, Stefan G. E.
Veljković, Nevena V.
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
The TRI_tool, a sequence-based web tool for prediction of protein interactions in the human transcriptional regulation, is intended for biomedical investigators who work on understanding the regulation of gene expression. It has an improved predictive performance due to the training on updated, human specific, experimentally validated datasets. The TRI_tool is designed to test up to 100 potential interactions with no time delay and to report both probabilities and binarized predictions.
Izvor:
Bioinformatics, 2017, 33, 2, 289-291Finansiranje / projekti:
DOI: 10.1093/bioinformatics/btw590
ISSN: 1367-4803; 1460-2059
PubMed: 27605104
WoS: 000397093200021
Scopus: 2-s2.0-85028334122
Kolekcije
Institucija/grupa
VinčaTY - JOUR AU - Perović, Vladimir R. AU - Šumonja, Neven AU - Gemović, Branislava S. AU - Toska, Eneda AU - Roberts, Stefan G. E. AU - Veljković, Nevena V. PY - 2017 UR - https://vinar.vin.bg.ac.rs/handle/123456789/1468 AB - The TRI_tool, a sequence-based web tool for prediction of protein interactions in the human transcriptional regulation, is intended for biomedical investigators who work on understanding the regulation of gene expression. It has an improved predictive performance due to the training on updated, human specific, experimentally validated datasets. The TRI_tool is designed to test up to 100 potential interactions with no time delay and to report both probabilities and binarized predictions. T2 - Bioinformatics T1 - TRI_tool: a web-tool for prediction of protein-protein interactions in human transcriptional regulation VL - 33 IS - 2 SP - 289 EP - 291 DO - 10.1093/bioinformatics/btw590 ER -
@article{ author = "Perović, Vladimir R. and Šumonja, Neven and Gemović, Branislava S. and Toska, Eneda and Roberts, Stefan G. E. and Veljković, Nevena V.", year = "2017", abstract = "The TRI_tool, a sequence-based web tool for prediction of protein interactions in the human transcriptional regulation, is intended for biomedical investigators who work on understanding the regulation of gene expression. It has an improved predictive performance due to the training on updated, human specific, experimentally validated datasets. The TRI_tool is designed to test up to 100 potential interactions with no time delay and to report both probabilities and binarized predictions.", journal = "Bioinformatics", title = "TRI_tool: a web-tool for prediction of protein-protein interactions in human transcriptional regulation", volume = "33", number = "2", pages = "289-291", doi = "10.1093/bioinformatics/btw590" }
Perović, V. R., Šumonja, N., Gemović, B. S., Toska, E., Roberts, S. G. E.,& Veljković, N. V.. (2017). TRI_tool: a web-tool for prediction of protein-protein interactions in human transcriptional regulation. in Bioinformatics, 33(2), 289-291. https://doi.org/10.1093/bioinformatics/btw590
Perović VR, Šumonja N, Gemović BS, Toska E, Roberts SGE, Veljković NV. TRI_tool: a web-tool for prediction of protein-protein interactions in human transcriptional regulation. in Bioinformatics. 2017;33(2):289-291. doi:10.1093/bioinformatics/btw590 .
Perović, Vladimir R., Šumonja, Neven, Gemović, Branislava S., Toska, Eneda, Roberts, Stefan G. E., Veljković, Nevena V., "TRI_tool: a web-tool for prediction of protein-protein interactions in human transcriptional regulation" in Bioinformatics, 33, no. 2 (2017):289-291, https://doi.org/10.1093/bioinformatics/btw590 . .