DeeP4med: deep learning for P4 medicine to predict normal and cancer transcriptome in multiple human tissues
Abstract Background P4 medicine (predict, prevent, personalize, and participate) is a new approach to diagnosing and predicting diseases on a patient-by-patient basis. For the prevention and treatment of diseases, prediction plays a fundamental role. One of the intelligent strategies is the design o...
Main Authors: | Roohallah Mahdi-Esferizi, Behnaz Haji Molla Hoseyni, Amir Mehrpanah, Yazdan Golzade, Ali Najafi, Fatemeh Elahian, Amin Zadeh Shirazi, Guillermo A. Gomez, Shahram Tahmasebian |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2023-07-01
|
Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12859-023-05400-2 |
Similar Items
-
Single-cell transcriptional signature-based drug repurposing and in vitro evaluation in colorectal cancer
by: Roohallah Mahdi-Esferizi, et al.
Published: (2024-03-01) -
DeePromoter: Robust Promoter Predictor Using Deep Learning
by: Mhaned Oubounyt, et al.
Published: (2019-04-01) -
Ko-dee
by: Sim, Lee Leng
Published: (2018) -
DeePay: deep learning decodes EEG to predict consumer’s willingness to pay for neuromarketing
by: Adam Hakim, et al.
Published: (2023-06-01) -
DeeReCT-APA: Prediction of Alternative Polyadenylation Site Usage Through Deep Learning
by: Zhongxiao Li, et al.
Published: (2022-06-01)