Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Marta Lovino"'
Autor:
Heidi Rausio, Alejandra Cervera, Vanina D. Heuser, Gun West, Jaana Oikkonen, Elena Pianfetti, Marta Lovino, Elisa Ficarra, Pekka Taimen, Johanna Hynninen, Rainer Lehtonen, Sampsa Hautaniemi, Olli Carpén, Kaisa Huhtinen
Publikováno v:
Neoplasia: An International Journal for Oncology Research, Vol 51, Iss , Pp 100987- (2024)
Gene fusions are common in high-grade serous ovarian cancer (HGSC). Such genetic lesions may promote tumorigenesis, but the pathogenic mechanisms are currently poorly understood. Here, we investigated the role of a PIK3R1-CCDC178 fusion identified fr
Externí odkaz:
https://doaj.org/article/2d652944943a4b03bb95ad24b38668fe
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-13 (2023)
Abstract Messenger RNA (mRNA) has an essential role in the protein production process. Predicting mRNA expression levels accurately is crucial for understanding gene regulation, and various models (statistical and neural network-based) have been deve
Externí odkaz:
https://doaj.org/article/c8d55e0471754a1f8a0c82a42a88bc0e
Publikováno v:
PLoS ONE, Vol 19, Iss 3, p e0289699 (2024)
MicroRNAs (miRNAs) are small molecules that play an essential role in regulating gene expression by post-transcriptional gene silencing. Their study is crucial in revealing the fundamental processes underlying pathologies and, in particular, cancer.
Externí odkaz:
https://doaj.org/article/28b60c4e6ace46dd8f60f1d4465d8d55
Autor:
Giansalvo Cirrincione, Sergio Cannata, Giovanni Cicceri, Francesco Prinzi, Tiziana Currieri, Marta Lovino, Carmelo Militello, Eros Pasero, Salvatore Vitabile
Publikováno v:
Sensors, Vol 23, Iss 12, p 5677 (2023)
Melanoma is a malignant cancer type which develops when DNA damage occurs (mainly due to environmental factors such as ultraviolet rays). Often, melanoma results in intense and aggressive cell growth that, if not caught in time, can bring one toward
Externí odkaz:
https://doaj.org/article/c031540b54c64271b7c49190d36c8760
Publikováno v:
International Journal of Molecular Sciences, Vol 20, Iss 8, p 2035 (2019)
The brain comprises a complex system of neurons interconnected by an intricate network of anatomical links. While recent studies demonstrated the correlation between anatomical connectivity patterns and gene expression of neurons, using transcriptomi
Externí odkaz:
https://doaj.org/article/8f11fbf67cba4a458fe20977401f9f9e
Publikováno v:
International Journal of Molecular Sciences, Vol 20, Iss 7, p 1645 (2019)
Gene fusions have a very important role in the study of cancer development. In this regard, predicting the probability of protein fusion transcripts of developing into a cancer is a very challenging and yet not fully explored research problem. To thi
Externí odkaz:
https://doaj.org/article/2a2b369a26fa489ab81ac24b4d8e77a1
Autor:
Vitabile, Giansalvo Cirrincione, Sergio Cannata, Giovanni Cicceri, Francesco Prinzi, Tiziana Currieri, Marta Lovino, Carmelo Militello, Eros Pasero, Salvatore
Publikováno v:
Sensors; Volume 23; Issue 12; Pages: 5677
Melanoma is a malignant cancer type which develops when DNA damage occurs (mainly due to environmental factors such as ultraviolet rays). Often, melanoma results in intense and aggressive cell growth that, if not caught in time, can bring one toward
Background and ObjectiveThe functions of an organism and its biological processes result from the expression of genes and proteins. Therefore quantifying and predicting mRNA and protein levels is a crucial aspect of scientific research. Concerning th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f334610f8af0493a91e644a42d03d26
https://doi.org/10.1101/2022.09.21.508821
https://doi.org/10.1101/2022.09.21.508821
Autor:
Vittorio Pipoli, Mattia Cappelli, Alessandro Palladini, Carlo Peluso, Marta Lovino, Elisa Ficarra
Publikováno v:
Computer methods and programs in biomedicine. 225
In the latest years, the prediction of gene expression levels has been crucial due to its potential applications in the clinics. In this context, Xpresso and others methods based on Convolutional Neural Networks and Transformers were firstly proposed
Publikováno v:
New Trends in Database and Information Systems ISBN: 9783031157424
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d31c614ba43889654339a929a3f5abc7
https://hdl.handle.net/11380/1289670
https://hdl.handle.net/11380/1289670