Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Niloofar Yousefi"'
Autor:
Shiva Pirhadi, Keivan Maghooli, Niloofar Yousefi Moteghaed, Masoud Garshasbi, Seyed Jalaleddin Mousavirad
Publikováno v:
Journal of Medical Signals and Sensors, Vol 11, Iss 2, Pp 108-119 (2021)
Background: Mass spectrometry is a method for identifying proteins and could be used for distinguishing between proteins in healthy and nonhealthy samples. This study was conducted using mass spectrometry data of ovarian cancer with high resolution.
Externí odkaz:
https://doaj.org/article/397f4bbe559e43628fa267b4e630bf97
Autor:
Hamid Allami, Niloofar Yousefi
Publikováno v:
Iranian Journal of Applied Language Studies, Vol 12, Iss 2, Pp 29-58 (2020)
Working memory is believed to interact with a second language (L2) learning at the cognitive level. The present study sought to explore the impact of L2 readers’ prior knowledge on the contribution of working memory to reading comprehension. Eighty
Externí odkaz:
https://doaj.org/article/956abfa1eb244749b7ab23bd9631d525
Autor:
Aida Tayebi, Niloofar Yousefi, Mehdi Yazdani-Jahromi, Elayaraja Kolanthai, Craig J. Neal, Sudipta Seal, Ozlem Ozmen Garibay
Publikováno v:
Molecules, Vol 27, Iss 9, p 2980 (2022)
Drug-target interaction (DTI) prediction through in vitro methods is expensive and time-consuming. On the other hand, computational methods can save time and money while enhancing drug discovery efficiency. Most of the computational methods frame DTI
Externí odkaz:
https://doaj.org/article/dca0e4e02d3d41f88264510ce5c2c2b6
Publikováno v:
Journal of Medical Signals and Sensors, Vol 8, Iss 1, Pp 1-11 (2018)
Background: Gene expression data are characteristically high dimensional with a small sample size in contrast to the feature size and variability inherent in biological processes that contribute to difficulties in analysis. Selection of highly discri
Externí odkaz:
https://doaj.org/article/bf087ee753aa4c8fb0136dd20e4cb302
Publikováno v:
Journal of Medical Signals and Sensors, Vol 5, Iss 2, Pp 88-96 (2015)
The improvement of high-through-put gene profiling based microarrays technology has provided monitoring the expression value of thousands of genes simultaneously. Detailed examination of changes in expression levels of genes can help physicians to ha
Externí odkaz:
https://doaj.org/article/8ee09835af2b4e459d7b186d68793ed8
Publikováno v:
Frontiers in Biomedical Technologies; Winter2024, Vol. 11 Issue 1, p113-121, 9p
Autor:
Niloofar Yousefi, Mehdi Yazdani-Jahromi, Aida Tayebi, Elayaraja Kolanthai, Craig J Neal, Tanumoy Banerjee, Agnivo Gosai, Ganesh Balasubramanian, Sudipta Seal, Ozlem Ozmen Garibay
Publikováno v:
Briefings in Bioinformatics. 24
While research into drug–target interaction (DTI) prediction is fairly mature, generalizability and interpretability are not always addressed in the existing works in this field. In this paper, we propose a deep learning (DL)-based framework, calle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e342f3c69e3946b1bdf0779b030d4bfc
https://doi.org/10.1093/bib/bbad136
https://doi.org/10.1093/bib/bbad136
Autor:
Ozlem Ozmen Garibay, Niloofar Yousefi, Kevin Aslett, Jacopo Baggio, Erik Hemberg, Chathura Jayalath, Alexander Mantzaris, Bruce Miller, Una-May O’Reilly, William Rand, Chathurani Senevirathna, Ivan Garibay
Publikováno v:
2022 IEEE 8th International Conference on Collaboration and Internet Computing (CIC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::795d4eea415d99e26aeccd4475452469
https://doi.org/10.1109/cic56439.2022.00016
https://doi.org/10.1109/cic56439.2022.00016
Autor:
Niloofar Yousefi, Mehdi Yazdani-Jahromi, Aida Tayebi, Elayaraja Kolanthai, Craig J. Neal, Tanumoy Banerjee, Agnivo Gosai, Ganesh Balasubramanian, Sudipta Seal, Ozlem Ozmen Garibay
While research into Drug-Target Interaction (DTI) prediction is fairly mature, generalizability and interpretability are not always addressed in the existing works in this field. In this paper, we propose a deep learning-based framework, called Bindi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f7fa2458a2c031ee21821fa9c513098
https://doi.org/10.1101/2022.08.30.505897
https://doi.org/10.1101/2022.08.30.505897
Publikováno v:
Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7769a1f243997be67b163a31886dcbcb
https://doi.org/10.1145/3514094.3534143
https://doi.org/10.1145/3514094.3534143