Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Isabelle, Bichindaritz"'
Autor:
Angelina Regua, Csaba Papp, Andre Grageda, Baylee A. Porter, Tiffany Caza, Isabelle Bichindaritz, Mira Krendel, Abirami Sivapiragasam, Gennady Bratslavsky, Vladimir A. Kuznetsov, Leszek Kotula
Publikováno v:
Molecular Oncology, Vol 16, Iss 14, Pp 2632-2657 (2022)
Despite the current standard of care, breast cancer remains one of the leading causes of mortality in women worldwide, thus emphasizing the need for better predictive and therapeutic targets. ABI1 is associated with poor survival and an aggressive br
Externí odkaz:
https://doaj.org/article/195f405edb7f4b7589ba1a65f66976c7
Autor:
Guanghui Liu, Isabelle Bichindaritz
Survival analysis has currently become an essential statistical research hotspot that models the time-to-event information with data censorship handling. Such technique yields extensive applications in carcinoma treatment and prediction. Deep neural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cd0a8fde3a36886f09496b77e65aa84
https://doi.org/10.21203/rs.3.rs-2184342/v1
https://doi.org/10.21203/rs.3.rs-2184342/v1
Autor:
Isabelle Bichindaritz, Guanghui Liu
Publikováno v:
The International FLAIRS Conference Proceedings. 35
Accurately predicting the interaction between G-protein-coupled receptors (GPCR) and drugs is of great significance for understanding protein functions and drug discovery and has become a hot spot in current research. To improve the accuracy of GPCR-
Autor:
Thom Quinn, Jonathan L. Hess, Victoria S. Marshe, Michelle M. Barnett, Anne-Christin Hauschild, Malgorzata Maciukiewicz, Samar S.M. Elsheikh, Schwarz Emanuel, Yannis J. Trakadis, Michael S. Breen, Eric J. Barnett, Yanli Zhang-James, Mehmet Eren Ahsen, Han Cao, Junfang Chen, Jiahui Hou, Asif Salekin, Ping-I Lin, Kristin K. Nicodemus, Andreas Meyer-Lindenberg, Isabelle Bichindaritz, Stephen V. Faraone, Murray J. Cairns, Gaurav Pandey, Daniel J. Mueller, Stephen J. Glatt
Applications of machine learning (ML) in biomedical science are growing rapidly, spurred by interdisciplinary collaborations, aggregation of large datasets, accessibility of analytic routines, and availability of powerful computers. With this increas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e29d1271bf0fae411681c1dc27fd2a29
https://doi.org/10.31234/osf.io/dz7gt
https://doi.org/10.31234/osf.io/dz7gt
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17:1966-1980
Prediction of protein subcellular location has currently become a hot topic because it has been proven to be useful for understanding both the disease mechanisms and novel drug design. With the rapid development of automated microscopic imaging techn
Autor:
Isabelle Bichindaritz, Guang-Hui Liu
Publikováno v:
Innovation in Medicine and Healthcare ISBN: 9789811934391
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ead5a987e95bf702c1de3a6b006dceb2
https://doi.org/10.1007/978-981-19-3440-7_5
https://doi.org/10.1007/978-981-19-3440-7_5
Autor:
Guillermo Hernández, Javier Parra-Domínguez, Isabelle Bichindaritz, María Eugenia Pérez-Pons, Juan Manuel Corchado
Publikováno v:
Expert Systems with Applications. 211:118568
Publikováno v:
FLAIRS Conference
There is usually a trade-off between predictive performance and transparency, where the reasoning process behind an algorithm is shielded behind a ”black-box.” In medical domains, experts being responsible for their decisions need to understand t
Artificial intelligence (AI) and machine learning (ML) are now almost everywhere. Yet, i) most of us do not have a formal training on this recent topic; ii) their concepts emerge from several different scientific communities. Thus, deciphering resear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25e387c4b37e69cfd6bd64d4b4dc46d3
https://doi.org/10.31219/osf.io/ks9h4
https://doi.org/10.31219/osf.io/ks9h4
Publikováno v:
Case-Based Reasoning Research and Development ISBN: 9783030583415
ICCBR
ICCBR
In the current era of medicine where clinicians and researchers alike are seeking to personalize treatment plans to individuals, the integration of clinical data with microarray data is surprisingly absent. With this in mind, clinical covariate data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c486a4ba5ba230d541f35bb88fb3056
https://doi.org/10.1007/978-3-030-58342-2_6
https://doi.org/10.1007/978-3-030-58342-2_6