Epistemic AI platform accelerates innovation by connecting biomedical knowledge

Autor: Koo, Da Chen Emily, Bowling, Heather, Ashworth, Kenneth, Heeger, David J., Pacifico, Stefano

Epistemic AI accelerates biomedical discovery by finding hidden connections in the network of biomedical knowledge. The Epistemic AI web-based software platform embodies the concept of knowledge mapping, an interactive process that relies on a knowle

Externí odkaz: http://arxiv.org/abs/2201.11331

MOESM2 of The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

Autor: Naihui Zhou, Yuxiang Jiang, Bergquist, Timothy, Lee, Alexandra, Balint Kacsoh, Crocker, Alex, Lewis, Kimberley, Georghiou, George, Nguyen, Huy, Md Nafiz Hamid, Davis, Larry, Tunca Dogan, Atalay, Volkan, Rifaioglu, Ahmet, Dalkıran, Alperen, Rengul Cetin Atalay, Chengxin Zhang, Hurto, Rebecca, Freddolino, Peter, Zhang, Yang, Prajwal Bhat, Supek, Fran, Fernández, José, Gemovic, Branislava, Perovic, Vladimir, Davidović, Radoslav, Sumonja, Neven, Veljkovic, Nevena, Ehsaneddin Asgari, Mofrad, Mohammad, Profiti, Giuseppe, Castrense Savojardo, Martelli, Pier Luigi, Casadio, Rita, Boecker, Florian, Schoof, Heiko, Indika Kahanda, Thurlby, Natalie, McHardy, Alice, Renaux, Alexandre, Saidi, Rabie, Gough, Julian, Freitas, Alex, Antczak, Magdalena, Fabris, Fabio, Wass, Mark, Hou, Jie, Jianlin Cheng, Wang, Zheng, Romero, Alfonso, Paccanaro, Alberto, Haixuan Yang, Goldberg, Tatyana, Chenguang Zhao, Holm, Liisa, Törönen, Petri, Medlar, Alan, Zosa, Elaine, Borukhov, Itamar, Novikov, Ilya, Wilkins, Angela, Lichtarge, Olivier, Po-Han Chi, Tseng, Wei-Cheng, Linial, Michal, Rose, Peter, Dessimoz, Christophe, Vidulin, Vedrana, Saso Dzeroski, Sillitoe, Ian, Sayoni Das, Lees, Jonathan Gill, Jones, David, Wan, Cen, Cozzetto, Domenico, Fa, Rui, Torres, Mateo, Vesztrocy, Alex Warwick, Rodriguez, Jose Manuel, Tress, Michael, Frasca, Marco, Notaro, Marco, Grossi, Giuliano, Petrini, Alessandro, Re, Matteo, Valentini, Giorgio, Mesiti, Marco, Roche, Daniel, Reeb, Jonas, Ritchie, David, Sabeur Aridhi, Alborzi, Seyed Ziaeddin, Marie-Dominique Devignes, Koo, Da Chen Emily, Bonneau, Richard, Gligorijević, Vladimir, Meet Barot, Fang, Hai, Toppo, Stefano, Lavezzo, Enrico, Falda, Marco, Berselli, Michele, Tosatto, Silvio, Carraro, Marco, Piovesan, Damiano, Hafeez Ur Rehman, Qizhong Mao, Shanshan Zhang, Vucetic, Slobodan, Black, Gage, Jo, Dane, Suh, Erica, Dayton, Jonathan, Larsen, Dallas, Omdahl, Ashton, McGuffin, Liam, Brackenridge, Danielle, Babbitt, Patricia, Yunes, Jeffrey, Fontana, Paolo, Zhang, Feng, Shanfeng Zhu, Ronghui You, Zihan Zhang, Suyang Dai, Shuwei Yao, Weidong Tian, Renzhi Cao, Chandler, Caleb, Amezola, Miguel, Johnson, Devon, Chang, Jia-Ming, Wen-Hung Liao, Liu, Yi-Wei, Pascarelli, Stefano, Yotam Frank, Hoehndorf, Robert, Kulmanov, Maxat, Boudellioua, Imane, Politano, Gianfranco, Carlo, Stefano Di, Benso, Alfredo, Hakala, Kai, Ginter, Filip, Mehryary, Farrokh, Suwisa Kaewphan, Björne, Jari, Moen, Hans, Tolvanen, Martti, Salakoski, Tapio, Kihara, Daisuke, Aashish Jain, Šmuc, Tomislav, Altenhoff, Adrian, Ben-Hur, Asa, Rost, Burkhard, Brenner, Steven, Orengo, Christine, Jeffery, Constance, Bosco, Giovanni, Hogan, Deborah, Martin, Maria, O’Donovan, Claire, Mooney, Sean, Greene, Casey, Radivojac, Predrag, Friedberg, Iddo

Additional file 2 Review History.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d9c48ea7ca57f4de6e206ea89173185

An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Autor: Jiang, Yuxiang, Oron, Tal Ronnen, Clark, Wyatt T, Bankapur, Asma R, D'Andrea, Daniel, Lepore, Rosalba, Funk, Christopher S, Kahanda, Indika, Verspoor, Karin M, Ben-Hur, Asa, Koo, Da Chen Emily, Penfold-Brown, Duncan, Shasha, Dennis, Youngs, Noah, Bonneau, Richard, Lin, Alexandra, Sahraeian, Sayed ME, Martelli, Pier Luigi, Profiti, Giuseppe, Casadio, Rita, Cao, Renzhi, Zhong, Zhaolong, Cheng, Jianlin, Altenhoff, Adrian, Skunca, Nives, Dessimoz, Christophe, Dogan, Tunca, Hakala, Kai, Kaewphan, Suwisa, Mehryary, Farrokh, Salakoski, Tapio, Ginter, Filip, Fang, Hai, Smithers, Ben, Oates, Matt, Gough, Julian, Törönen, Petri, Koskinen, Patrik, Holm, Liisa, Chen, Ching-Tai, Hsu, Wen-Lian, Bryson, Kevin, Cozzetto, Domenico, Minneci, Federico, Jones, David T, Chapman, Samuel, Bkc, Dukka, Khan, Ishita K, Kihara, Daisuke, Ofer, Dan, Rappoport, Nadav, Stern, Amos, Cibrian-Uhalte, Elena, Denny, Paul, Foulger, Rebecca E, Hieta, Reija, Legge, Duncan, Lovering, Ruth C, Magrane, Michele, Melidoni, Anna N, Mutowo-Meullenet, Prudence, Pichler, Klemens, Shypitsyna, Aleksandra, Li, Biao, Zakeri, Pooya, ElShal, Sarah, Tranchevent, Léon-Charles, Das, Sayoni, Dawson, Natalie L, Lee, David, Lees, Jonathan G, Sillitoe, Ian, Bhat, Prajwal, Nepusz, Tamás, Romero, Alfonso E, Sasidharan, Rajkumar, Yang, Haixuan, Paccanaro, Alberto, Gillis, Jesse, Sedeño-Cortés, Adriana E, Pavlidis, Paul, Feng, Shou, Cejuela, Juan M, Goldberg, Tatyana, Hamp, Tobias, Richter, Lothar, Salamov, Asaf, Gabaldon, Toni, Marcet-Houben, Marina, Supek, Fran, Gong, Qingtian, Ning, Wei, Zhou, Yuanpeng, Tian, Weidong, Falda, Marco, Fontana, Paolo, Lavezzo, Enrico, Toppo, Stefano, Ferrari, Carlo, Giollo, Manuel

Publikováno v: Genome biology, vol 17, iss 1

BackgroundA major bottleneck in our understanding of the molecular underpinnings of life is the assignment of function to proteins. While molecular experiments provide the most reliable annotation of proteins, their relatively low throughput and rest

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______325::81159c10cff6594beb8cd58596d4e880
https://escholarship.org/uc/item/8g27j6mx

An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Autor: Yuxiang Jiang, Tal Ronnen Oron, Wyatt T. Clark, Asma R. Bankapur, Daniel D’Andrea, Rosalba Lepore, Christopher S. Funk, Indika Kahanda, Karin M. Verspoor, Asa Ben-Hur, Da Chen Emily Koo, Duncan Penfold-Brown, Dennis Shasha, Noah Youngs, Richard Bonneau, Alexandra Lin, Sayed M. E. Sahraeian, Pier Luigi Martelli, Giuseppe Profiti, Rita Casadio, Renzhi Cao, Zhaolong Zhong, Jianlin Cheng, Adrian Altenhoff, Nives Skunca, Christophe Dessimoz, Tunca Dogan, Kai Hakala, Suwisa Kaewphan, Farrokh Mehryary, Tapio Salakoski, Filip Ginter, Hai Fang, Ben Smithers, Matt Oates, Julian Gough, Petri Törönen, Patrik Koskinen, Liisa Holm, Ching-Tai Chen, Wen-Lian Hsu, Kevin Bryson, Domenico Cozzetto, Federico Minneci, David T. Jones, Samuel Chapman, Dukka BKC, Ishita K. Khan, Daisuke Kihara, Dan Ofer, Nadav Rappoport, Amos Stern, Elena Cibrian-Uhalte, Paul Denny, Rebecca E. Foulger, Reija Hieta, Duncan Legge, Ruth C. Lovering, Michele Magrane, Anna N. Melidoni, Prudence Mutowo-Meullenet, Klemens Pichler, Aleksandra Shypitsyna, Biao Li, Pooya Zakeri, Sarah ElShal, Léon-Charles Tranchevent, Sayoni Das, Natalie L. Dawson, David Lee, Jonathan G. Lees, Ian Sillitoe, Prajwal Bhat, Tamás Nepusz, Alfonso E. Romero, Rajkumar Sasidharan, Haixuan Yang, Alberto Paccanaro, Jesse Gillis, Adriana E. Sedeño-Cortés, Paul Pavlidis, Shou Feng, Juan M. Cejuela, Tatyana Goldberg, Tobias Hamp, Lothar Richter, Asaf Salamov, Toni Gabaldon, Marina Marcet-Houben, Fran Supek, Qingtian Gong, Wei Ning, Yuanpeng Zhou, Weidong Tian, Marco Falda, Paolo Fontana, Enrico Lavezzo, Stefano Toppo, Carlo Ferrari, Manuel Giollo, Damiano Piovesan, Silvio C.E. Tosatto, Angela del Pozo, José M. Fernández, Paolo Maietta, Alfonso Valencia, Michael L. Tress, Alfredo Benso, Stefano Di Carlo, Gianfranco Politano, Alessandro Savino, Hafeez Ur Rehman, Matteo Re, Marco Mesiti, Giorgio Valentini, Joachim W. Bargsten, Aalt D. J. van Dijk, Branislava Gemovic, Sanja Glisic, Vladmir Perovic, Veljko Veljkovic, Nevena Veljkovic, Danillo C. Almeida-e-Silva, Ricardo Z. N. Vencio, Malvika Sharan, Jörg Vogel, Lakesh Kansakar, Shanshan Zhang, Slobodan Vucetic, Zheng Wang, Michael J. E. Sternberg, Mark N. Wass, Rachael P. Huntley, Maria J. Martin, Claire O’Donovan, Peter N. Robinson, Yves Moreau, Anna Tramontano, Patricia C. Babbitt, Steven E. Brenner, Michal Linial, Christine A. Orengo, Burkhard Rost, Casey S. Greene, Sean D. Mooney, Iddo Friedberg, Predrag Radivojac

Publikováno v: Repositorio Institucional de la Consejería de Sanidad de la Comunidad de Madrid
Consejería de Sanidad de la Comunidad de Madrid
Genome Biology
Genome Biology, 17 (1)
17:184
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Genome Biology, vol. 17, no. 1, pp. 184
Recercat. Dipósit de la Recerca de Catalunya
instname
Repisalud
Instituto de Salud Carlos III (ISCIII)
Genome Biology 17 (2016) 1
Genome Biology, 17(1)

BACKGROUND: A major bottleneck in our understanding of the molecular underpinnings of life is the assignment of function to proteins. While molecular experiments provide the most reliable annotation of proteins, their relatively low throughput and re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec8a6a0d9eaae66e982189e622e9e4d4
http://hdl.handle.net/10449/37272