-
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...
-
Chapter and Conference Paper
An Improved Tensor Network for Image Classification in Histopathology
As some machine learning tools such as neural networks are adopted in several fields, some interesting connections and comparisons of concepts between these fields are beginning to emerge. Tensor networks have...
-
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...
-
Article
Multi-task deep learning for fine-grained classification and grading in breast cancer histopathological images
Fine-grained classification and grading of breast cancer (BC) histopathological images are of great value in clinical application. However, automatic classification and grading of BC histopathological images a...
-
Chapter
Multi-task Deep Learning for Fine-Grained Classification/Grading in Breast Cancer Histopathological Images
The fine-grained classification or grading of breast cancer pathological images is of great value in clinical application. However, the manual feature extraction methods not only require professional knowledge...
-
Article
Open AccessOptimization of whole-cell biotransformation for scale-up production of α-arbutin from hydroquinone by the use of recombinant Escherichia coli
α-Arbutin is an effective skin-whitening cosmetic ingredient and hyperpigmentation therapy agent. It can be synthesized by one-step enzymatic glycosylation of hydroquinone (HQ), but limited by the low yield. A...
-
Article
Batch-feeding whole-cell catalytic synthesis of α-arbutin by amylosucrase from Xanthomonas campestris
α-Arbutin is an effective skin-whitening cosmetic ingredient and can be synthesized through hydroquinone glycosylation. In this study, amylosucrase (Amy-1) from Xanthomonas campestris pv. campestris 8004 was newl...
-
Chapter and Conference Paper
CNNPSP: Pseudouridine Sites Prediction Based on Deep Learning
Pseudouridine (ψ) is a kind of RNA modification, which is formed at specific site of RNA sequence due to the catalytic action of Pseudouridine synthase in the process of gene transcription. It is the most prev...
-
Article
Synthesis of N-substituted dimethylmaleimides and their antifungal activities against Sclerotinia sclerotiorum
Compounds with maleimide, both natural and synthesized, have good biological activities, especially the antifungal activity. In order to investigate the antifungal activity of dimethylmaleimides, 17 N-substituted...
-
Article
Kinetic resolution of both 1-phenylethanol enantiomers produced by hydrolysis of 1-phenylethyl acetate with Candida antarctica lipase B in different solvent systems
The enzymatic resolution of (R, S)-1-phenylethanol produced by hydrolysis of (R, S)-1-phenylethyl acetate catalyzed by immobilized Candida antarctica lipase B (CALB) was successfully carried out in different solv...
