Welcome To BioAi−Lab
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Hainan University, Haikou, Hainan Province, China
News
2025
Nov
Our work "GCNLA: Inferring Cell-Cell Interactions From Spatial Transcriptomics With Long Short-Term Memory and Graph Convolutional Networks. " has been accepted for publication on IEEE Journal of Biomedical and Health Informatics .
Nov
" A comprehensive review of computational methods for predicting DNA N4-methylcytosine sites." has been accepted for publication on International Journal of Biological Macromolecules .
Oct
"NeuroCL: A Deep Learning Approach for Identifying Neuropeptides Based on Contrastive Learning." has been accepted for publication on Analytical Biochemistry .
Oct
"PLM-IL4: Enhancing IL-4-inducing peptide prediction with protein language model." has been accepted for publication on Computational Biology and Chemistry .
13
Oct
"DeepMaT: Prediction of Target Peptide Classification and Cleavage Site by Combining Mamba2 and Multiple Attention Mechanisms." has been accepted for publication on Journal of Chemical Information and Modeling .
26
Oct
"CNNCaps-DBP: Leveraging protein language models with attention-augmented convolution for DNA-binding protein prediction." has been accepted for publication on Neural Networks .
9
Sep
"Progress and applications of single-cell RNA sequencing and spatial transcriptome technology in acute kidney injury research." has been accepted for publication on Molecular Therapy Nucleic Acids .
Sep
"ACP-EPC: an interpretable deep learning framework for anticancer peptide prediction utilizing pre-trained protein language model and multi-view feature extracting strategy." has been accepted for publication on Molecular Diversity .
11
Aug
"m5U-HybridNet: Integrating an RNA Foundation Model with CNN Features for Accurate Prediction of 5-Methyluridine Modification Sites." has been accepted for publication on Journal of Chemical Information and Modeling .
6
Jun
"AVP-HNCL: Innovative Contrastive Learning with a Queue-Based Negative Sampling Strategy for Dual-Phase Antiviral Peptide Prediction." has been accepted for publication on Journal of Chemical Information and Modeling .
15
Jun
"PLPTP: A Motif-based Interpretable Deep Learning Framework Based on Protein Language Models for Peptide Toxicity Prediction." has been accepted for publication on Journal of Molecular Biology .
May
"CasPro-ESM2: Accurate identification of Cas proteins integrating pre-trained protein language model and multi-scale convolutional neural network." has been accepted for publication on Journal of Molecular Biology .
May
"CPL‐Diff: A Diffusion Model for De Novo Design of Functional Peptide Sequences with Fixed Length." has been accepted for publication on Advanced Science .
May
"ACP-ESM2: Enhancing Anticancer Peptide Prediction with Pre-trained Protein Language Models." has been accepted for publication on IEEE-ACM Transactions on Computational Biology and Bioinformatics .
Apr
"iBitter-GRE: A Novel Stacked Bitter Peptide Predictor with ESM-2 and Multi-View Features." has been accepted for publication on Journal of Molecular Biology .
19
Feb
"ACP-CLB: An Anticancer Peptide Prediction Model Based on Multichannel Discriminative Processing and Integration of Large Pretrained Protein Language Models." has been accepted for publication on Journal of Chemical Information and Modeling .
13
Feb
"A comprehensive review of deep learning-based approaches for drug–drug interaction prediction." has been accepted for publication on Briefings in Functional Genomics .
21
Jan
"PROTCROWN: A Manually Curated Resource of Protein Corona Data for Unlocking the Potential of Protein–Nanoparticle Interactions." has been accepted for publication on Nano Letters .
2024
19
Oct
Our work "A comprehensive review of approaches for spatial domain recognition of spatial transcriptomes. " has been accepted for publication on Briefings in Functional Genomics.
30
May
Our work "msBERT-Promoter: a multi-scale ensemble predictor based on BERT pre-trained model for the two-stage prediction of DNA promoters and their strengths. " has been accepted for publication on BMC biology.
December
Our work "Voting-ac4C:Pre-trained large RNA language model enhances RNA N4-acetylcytidine site prediction. " has been published on International Journal of Biological Macromolecules.
05
September
Our work "MVST: Identifying spatial domains of spatial transcriptomes from multiple views using multi-view graph convolutional networks. PLOS Computational Biology" has been accepted for publication on PLOS Computational Biology.
25
Sep
Our work " Machine learning enables comprehensive prediction of the relative protein abundance of multiple proteins on the protein corona. " has been accepted for publication on Research.
15
October
Our work "MultiFeatVotPIP: a voting-based ensemble learning framework for predicting proinflammatory peptides." has been accepted for publication on Briefings in Bioinformatics,.
17
October
Our work " DPNN-ac4C: A Dual-Path Neural Network with self-attention mechanism for identification of N4‑acetylcytidine (ac4C) in mRNA. " has been accepted for publication on Bioinformatics.
31
July
Our work " Hyb_SEnc: An Antituberculosis Peptide Predictor Based on a Hybrid Feature Vector and Stacked Ensemble Learning. " has been accepted for publication on IEEE/ACM Transactions on Computational Biology and Bioinformatics.
February
Our work " AGF-PPIS: a protein–protein interaction site predictor based on an attention mechanism and graph convolutional networks. " has been accepted for publication on Methods.
February
Our work " Machine learning-based prediction model for distant metastasis of breast cancer. " has been accepted for publication on Computers in Biology and Medicine.
03
October
Our work " Single-cell transcriptome analysis reveals immune microenvironment changes and insights into the transition from DCIS to IDC with associated prognostic genes. " has been accepted for publication on Journal of Translational Medicine.
24
January
Our work " Integration tools for scRNA-seq data and spatial transcriptomics sequencing data. " has been accepted for publication on Briefings in Functional Genomics .
October
Our work "PEL-PVP: Application of plant vacuolar protein discriminator based on PEFT ESM-2 and bilayer LSTM in an unbalanced dataset. " has been accepted for publication on International Journal of Biological Macromolecules.
March
Our work " PSAC-6mA: 6mA site identifier using self-attention capsule network based on sequence-positioning. " has been accepted for publication on Computers in Biology and Medicine.
11
Jun
Our work " A comprehensive survey of dimensionality reduction and clustering methods for single-cell and spatial transcriptomics data. " has been accepted for publication on Briefings in Functional Genomics.
05
Jan
Our work " RAVAR: a curated repository for rare variant–trait associations. " has been accepted for publication on Nucleic Acids Research.
2023
5-8
Dec
Our work "AIPPT: Predicts anti-inflammatory peptides using the most characteristic subset of bases and sequences by stacking ensemble learning strategies. " has been accepted for publication on BIBM (CCF B).
5-8
Dec
"Human-Spa: An Online Platform Based on Spatial Transcriptome Data for Diseases of Human Systems." has been accepted for publication on BIBM (CCF B).
2022
13
Jun
Our work "iKcr_CNN: A novel computational tool for imbalance classification of human nonhistone crotonylation sites based on convolutional neural networks with focal loss." has been accepted for publication on Bioinformatics.
18
May
Our work "webSCST: an interactive web application for single−cell RNA−sequencing data and spatial transcriptomic data integration." has been accepted for publication on Bioinformatics.
20
Apr
Our work "DeepMC−iNABP: Deep learning for multiclass identification and classification of nucleic acid−binding proteins. " has been accepted for publication on Computational and Structural Biotechnology Journal.
17
Jan
Our work "Protein−DNA/RNA interactions: Machine intelligence tools and approaches in the era of artificial intelligence and big data. " has been accepted for publication on Proteomics.
2021
26
Nov
Our work "Single−cell RNA analysis reveals the potential risk of organ−specific cell types vulnerable to SARS−CoV−2 infections. " has been accepted for publication on Computers in Biology and Medicine.
17
Jul
Our work "Briefings in functional genomics special section editorial: analysis of integrated multiple omics data. " has been published on Briefings in Functional Genomics.
09
Mar
Our work "Critical downstream analysis steps for single−cell RNA sequencing data. " has been accepted for publication on Briefings in Bioinformatics.
19
Feb
Our work "Single−cell RNA sequencing analysis identifies key genes in brain metastasis from lung adenocarcinoma. " has been accepted for publication on Current Gene Therapy.
30
Jan
Our work " Computational biology and chemistry Special section editorial: Computational analyses for miRNA. " has been accepted for publication on Computational Biology and Chemistry.
05
Jan
Our work " Anticancer peptides prediction with deep representation learning features." has been accepted for publication on Briefings in Bioinformatics..
2020
18
Dec
Our work "Sequence representation approaches for sequence−based protein prediction tasks that use deep learning. " has been accepted for publication on Briefings in Functional Genomics.
16
Oct