Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Mohammad Erfan Mowlaei"'
Publikováno v:
Soft Computing Letters, Vol 3, Iss , Pp 100007- (2021)
Cancer detection using gene expression data has been a major trend of research for the last decade. Microarray gene expression data is one of the most challenging types of data due to high dimensionality and rarity of available samples. Feature redun
Externí odkaz:
https://doaj.org/article/116c1a7e5d814d94b3dc4b1e5272283e
Autor:
Mohammad Erfan Mowlaei, Chong Li, Junjie Chen, Benyamin Jamialahmadi, Sudhir Kumar, Timothy Richard Rebbeck, Xinghua Shi
With recent advances in DNA sequencing technologies, researchers are able to acquire increasingly larger volumes of genomic datasets, enabling the training of powerful models for downstream genomic tasks. However, genome scale dataset often contain m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22dbca1cd29a7ba86da8cd40f843c51f
https://doi.org/10.1101/2023.03.05.531190
https://doi.org/10.1101/2023.03.05.531190
Autor:
Federica Tavaglione, Oveis Jamialahmadi, Antonio De Vincentis, Sami Qadri, Mohammad Erfan Mowlaei, Rosellina Margherita Mancina, Ester Ciociola, Simone Carotti, Giuseppe Perrone, Vincenzo Bruni, Ida Francesca Gallo, Dario Tuccinardi, Cristiana Bianco, Daniele Prati, Silvia Manfrini, Paolo Pozzilli, Antonio Picardi, Marco Caricato, Hannele Yki-Järvinen, Luca Valenti, Umberto Vespasiani-Gentilucci, Stefano Romeo
Publikováno v:
Clinical Gastroenterology and Hepatology. 21:1523-1532.e1
Noninvasive assessment of histological features of nonalcoholic fatty liver disease (NAFLD) has been an intensive research area over the last decade. Herein, we aimed to develop a simple noninvasive score using routine laboratory tests to identify, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bc09ffc1f0c55d49de370ef33841b02
https://doi.org/10.1016/j.cgh.2022.03.044
https://doi.org/10.1016/j.cgh.2022.03.044
Autor:
Mohammad Erfan Mowlaei, Xinghua Shi
Publikováno v:
Genes; Volume 14; Issue 5; Pages: 1059
(1) Background: Phenotype prediction is a pivotal task in genetics in order to identify how genetic factors contribute to phenotypic differences. This field has seen extensive research, with numerous methods proposed for predicting phenotypes. Nevert
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8e925b35c6382e015b4f888c229240b
https://doi.org/10.3390/genes14051059
https://doi.org/10.3390/genes14051059
Publikováno v:
Soft Computing Letters, Vol 3, Iss, Pp 100007-(2021)
Cancer detection using gene expression data has been a major trend of research for the last decade. Microarray gene expression data is one of the most challenging types of data due to high dimensionality and rarity of available samples. Feature redun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ab2df99fa32a9e8397106a525797bab
http://www.sciencedirect.com/science/article/pii/S266622212030006X
http://www.sciencedirect.com/science/article/pii/S266622212030006X
Publikováno v:
BCB
Although next generation sequencing technologies have made it possible to quickly generate a large collection of sequences, current genomic data still suffer from small data sizes, imbalances, and biases due to various factors including disease raren
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e241e42beb7ae5e4b46f48d16f0b8db1
https://doi.org/10.1145/3388440.3412475
https://doi.org/10.1145/3388440.3412475
Publikováno v:
Expert Systems with Applications. 148:113234
Reviews expressed in e-commerce websites have formed an important source of information for both consumers and enterprises. Text sentiment analysis approaches aim to detect the sentiments of written reviews in order to achieve a better understanding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ad16a28eefb6ae66017061aaf7cf441
https://doi.org/10.1016/j.eswa.2020.113234
https://doi.org/10.1016/j.eswa.2020.113234
Publikováno v:
2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES).
Opining mining is the task of analyzing the written text about an entity to determine the expressed sentiment toward that entity. This paper presents a lexicon generation approach to determine the polarity of the aspects described in reviews written
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1df5570fb2b2a325aae5f5f74259c8bf
https://doi.org/10.1109/ines.2018.8523897
https://doi.org/10.1109/ines.2018.8523897
Publikováno v:
2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES).
Sentiment analysis is the task of extracting and analyzing opinions expressed in comments written in social media and websites and is performed to assist users and stakeholders to better understand the public opinion on a subject. In this paper, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bcc04f9554694a1ebbb4325cc664f73
https://doi.org/10.1109/ines.2018.8523902
https://doi.org/10.1109/ines.2018.8523902