Fengfeng Zhou
Orcid: 0000-0002-8108-6007
According to our database1,
Fengfeng Zhou
authored at least 67 papers
between 2003 and 2024.
Collaborative distances:
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Bibliography
2024
PepHarmony: A Multi-View Contrastive Learning Framework for Integrated Sequence and Structure-Based Peptide Encoding.
CoRR, 2024
MolFeSCue: enhancing molecular property prediction in data-limited and imbalanced contexts using few-shot and contrastive learning.
Bioinform., 2024
2023
Multi-view progression diagnosis of thyroid cancer by integrating platelet transcriptomes and blood routine tests.
Comput. Biol. Medicine, December, 2023
GSRNet, an adversarial training-based deep framework with multi-scale CNN and BiGRU for predicting genomic signals and regions.
Expert Syst. Appl., November, 2023
Comput. Biol. Medicine, September, 2023
Inf. Sci., August, 2023
Orchestrating information across tissues via a novel multitask GAT framework to improve quantitative gene regulation relation modeling for survival analysis.
Briefings Bioinform., July, 2023
EvaGoNet: An integrated network of variational autoencoder and Wasserstein generative adversarial network with gradient penalty for binary classification tasks.
Inf. Sci., June, 2023
EpiTEAmDNA: Sequence feature representation via transfer learning and ensemble learning for identifying multiple DNA epigenetic modification types across species.
Comput. Biol. Medicine, June, 2023
Gender-specific dysregulations of nondifferentially expressed biomarkers of metastatic colon cancer.
Comput. Biol. Chem., June, 2023
An finite element analysis surrogate model with boundary oriented graph embedding approach for rapid design.
J. Comput. Des. Eng., April, 2023
FMGNN: A Method to Predict Compound-Protein Interaction With Pharmacophore Features and Physicochemical Properties of Amino Acids.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
PepLand: a large-scale pre-trained peptide representation model for a comprehensive landscape of both canonical and non-canonical amino acids.
CoRR, 2023
2022
Superpixel-Level Global and Local Similarity Graph-Based Clustering for Large Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2022
J. Bioinform. Comput. Biol., 2022
Pan-cancer identification of the relationship of metabolism-related differentially expressed transcription regulation with non-differentially expressed target genes via a gated recurrent unit network.
Comput. Biol. Medicine, 2022
HLAB: learning the BiLSTM features from the ProtBert-encoded proteins for the class I HLA-peptide binding prediction.
Briefings Bioinform., 2022
2021
Spectral-Spatial Genetic Algorithm-Based Unsupervised Band Selection for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2021
PLoS Comput. Biol., 2021
Correction to "XGraphBoost: Extracting Graph Neural Network-Based Features for a Better Prediction of Molecular Properties".
J. Chem. Inf. Model., 2021
XGraphBoost: Extracting Graph Neural Network-Based Features for a Better Prediction of Molecular Properties.
J. Chem. Inf. Model., 2021
Impacts of high-quality public data: Special issue on integrating public and in-house biomedical data.
J. Bioinform. Comput. Biol., 2021
RIFS2D: A two-dimensional version of a randomly restarted incremental feature selection algorithm with an application for detecting low-ranked biomarkers.
Comput. Biol. Medicine, 2021
Computational pan-cancer characterization of model-based quantitative transcription regulations dysregulated in regional lymph node metastasis.
Comput. Biol. Medicine, 2021
A dynamic recursive feature elimination framework (dRFE) to further refine a set of OMIC biomarkers.
Bioinform., 2021
Application of Bayesian phylogenetic inference modelling for evolutionary genetic analysis and dynamic changes in 2019-nCoV.
Briefings Bioinform., 2021
A comprehensive comparison of residue-level methylation levels with the regression-based gene-level methylation estimations by ReGear.
Briefings Bioinform., 2021
Survival Time Prediction of Breast Cancer Patients Using Feature Selection Algorithm Crystall.
IEEE Access, 2021
2020
Combining High Speed ELM Learning with a Deep Convolutional Neural Network Feature Encoding for Predicting Protein-RNA Interactions.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Selection of features for patient-independent detection of seizure events using scalp EEG signals.
Comput. Biol. Medicine, 2020
FeSTwo, a two-step feature selection algorithm based on feature engineering and sampling for the chronological age regression problem.
Comput. Biol. Medicine, 2020
sefOri: selecting the best-engineered sequence features to predict DNA replication origins.
Bioinform., 2020
Bioinform., 2020
ELMO: An Efficient Logistic Regression-Based Multi-Omic Integrated Analysis Method for Breast Cancer Intrinsic Subtypes.
IEEE Access, 2020
MuscNet, a Weighted Voting Model of Multi-Source Connectivity Networks to Predict Mild Cognitive Impairment Using Resting-State Functional MRI.
IEEE Access, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
J. Sensors, 2019
Integrating Five Feature Types Extracted From Ultrasonograms to Improve the Prediction of Thyroid Papillary Carcinoma.
IEEE Access, 2019
Deep Residual Convolutional Neural Network for Protein-Protein Interaction Extraction.
IEEE Access, 2019
The Transverse Ultrasonogram of Thyroid Papillary Carcinoma Has a Better Prediction Accuracy Than the Longitudinal One.
IEEE Access, 2019
Accurate Prediction of Neoadjuvant Chemotherapy Pathological Complete Remission (pCR) for the Four Sub-Types of Breast Cancer.
IEEE Access, 2019
Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019
2018
Integration of 24 Feature Types to Accurately Detect and Predict Seizures Using Scalp EEG Signals.
Sensors, 2018
TriZ-a rotation-tolerant image feature and its application in endoscope-based disease diagnosis.
Comput. Biol. Medicine, 2018
BMC Bioinform., 2018
2017
hMuLab: A Biomedical Hybrid MUlti-LABel Classifier Based on Multiple Linear Regression.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
MUSTv2: An Improved De Novo Detection Program for Recently Active Miniature Inverted Repeat Transposable Elements (MITEs).
J. Integr. Bioinform., 2017
2016
CD3D and PRKCQ work together to discriminate between B-cell and T-cell acute lymphoblastic leukemia.
Comput. Biol. Medicine, 2016
McTwo: a two-step feature selection algorithm based on maximal information coefficient.
BMC Bioinform., 2016
2015
Specific Biomarkers: Detection of Cancer Biomarkers Through High-Throughput Transcriptomics Data.
Cogn. Comput., 2015
Comput. Biol. Medicine, 2015
A novel electrocardiogram parameterization algorithm and its application in myocardial infarction detection.
Comput. Biol. Medicine, 2015
2014
A novel molecular typing method of Mycobacteria based on DNA barcoding visualization.
J. Clin. Bioinform., 2014
BMC Bioinform., 2014
2011
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011
2010
cBar: a computer program to distinguish plasmid-derived from chromosome-derived sequence fragments in metagenomics data.
Bioinform., 2010
2009
Genom. Proteom. Bioinform., 2009
<i>De novo</i> computational prediction of non-coding RNA genes in prokaryotic genomes.
Bioinform., 2009
2008
2006
CSS-Palm: palmitoylation site prediction with a clustering and scoring strategy (CSS).
Bioinform., 2006
2005
Nucleic Acids Res., 2005
CoRR, 2005
2004
Proceedings of the Computational and Information Science, First International Symposium, 2004
2003