![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Article
Open AccessiProL: identifying DNA promoters from sequence information based on Longformer pre-trained model
Promoters are essential elements of DNA sequence, usually located in the immediate region of the gene transcription start sites, and play a critical role in the regulation of gene transcription. Its importance...
-
Article
Open AccessIHCP: interpretable hepatitis C prediction system based on black-box machine learning models
Hepatitis C is a prevalent disease that poses a high risk to the human liver. Early diagnosis of hepatitis C is crucial for treatment and prognosis. Therefore, develo** an effective medical decision system i...
-
Article
Open AccessDeepASDPred: a CNN-LSTM-based deep learning method for Autism spectrum disorders risk RNA identification
Autism spectrum disorders (ASD) are a group of neurodevelopmental disorders characterized by difficulty communicating with society and others, behavioral difficulties, and a brain that processes information di...
-
Article
Open AccessStackEPI: identification of cell line-specific enhancer–promoter interactions based on stacking ensemble learning
Understanding the regulatory role of enhancer–promoter interactions (EPIs) on specific gene expression in cells contributes to the understanding of gene regulation, cell differentiation, etc., and its identifi...
-
Article
Open AccessUsing multi-layer perceptron to identify origins of replication in eukaryotes via informative features
The origin is the starting site of DNA replication, an extremely vital part of the informational inheritance between parents and children. More importantly, accurately identifying the origin of replication has...
-
Article
Open AccessPyConvU-Net: a lightweight and multiscale network for biomedical image segmentation
With the development of deep learning (DL), more and more methods based on deep learning are proposed and achieve state-of-the-art performance in biomedical image segmentation. However, these methods are usual...