Fengfeng Zhou

发表

Subcortical brain volume, regional cortical thickness and cortical surface area across attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and obsessive-compulsive disorder (OCD)

Margot J. Taylor, Ivanei E. Bramati, Benjamin A. Ely, 2019, bioRxiv.

Detection and Comparative Analysis of Methylomic Biomarkers of Rheumatoid Arthritis

Xin Feng, Fengfeng Zhou, Lan Huang, 2020, Frontiers in Genetics.

Cortical and subcortical brain morphometry differences between patients with autism spectrum disorders (ASD) and healthy individuals across the lifespan: results from the ENIGMA-ASD working group

Jennifer Fedor, Beatriz Luna, Joost Janssen, 2017 .

A polygenic stacking classifier revealed the complicated platelet transcriptomic landscape of adult immune thrombocytopenia

Ruochi Zhang, Fengfeng Zhou, M. Duan, 2022, Molecular therapy. Nucleic acids.

Subtly altered topological asymmetry of brain structural covariance networks in autism spectrum disorder across 43 datasets from the ENIGMA consortium

C. Francks, B. Franke, L. Gallagher, 2022, Molecular Psychiatry.

Describe Molecules by a Heterogeneous Graph Neural Network with Transformer-like Attention for Supervised Property Predictions

Zengrong Lei, Ruochi Zhang, Fengfeng Zhou, 2022, ACS omega.

AcneGrader: An ensemble pruning of the deep learning base models to grade acne

Fengfeng Zhou, Shuai Liu, Lan Huang, 2022, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

Superpixel-level Global and Local Similarity Graph-based Clustering for Large Hyperspectral Images

L. Bruzzone, Renchu Guan, Chen Yang, 2021, IEEE Transactions on Geoscience and Remote Sensing.

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

Fengfeng Zhou, Lan Huang, Xingyuan Pan, 2022, Comput. Biol. Medicine.

Dynamic failure of composite strips under reverse ballistic impact

T. Tallman, Fengfeng Zhou, Jinling Gao, 2022, International Journal of Mechanical Sciences.

Integration of lncRNAs, Protein-Coding Genes and Pathology Images for Detecting Metastatic Melanoma

Fengfeng Zhou, Shuai Liu, Lan Huang, 2022, Genes.

Improving target-disease association prediction through a graph neural network with credibility information.

Jianyang Zeng, Fengfeng Zhou, Tingzhong Tian, 2022, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

Subcortical Brain Volume, Regional Cortical Thickness, and Cortical Surface Area Across Disorders: Findings From the ENIGMA ADHD, ASD, and OCD Working Groups.

Margot J. Taylor, Ivanei E. Bramati, Joseph A. King, 2020, The American journal of psychiatry.

EvaGoNet: An integrated network of variational autoencoder and Wasserstein generative adversarial network with gradient penalty for binary classification tasks

Jiawei Yuan, Yiping Xu, Fengfeng Zhou, 2023, Inf. Sci..

Severity Detection for the Coronavirus Disease 2019 (COVID-19) Patients Using a Machine Learning Model Based on the Blood and Urine Tests

F. Zhou, Ruochi Zhang, Fengfeng Zhou, 2020, Frontiers in Cell and Developmental Biology.

Subtly altered topological asymmetry of brain structural covariance networks in autism spectrum disorder across 43 datasets from the ENIGMA consortium

Margot J. Taylor, Joseph A. King, C. Francks, 2021, Biological Psychiatry.

AcneTyper: An automatic diagnosis method of dermoscopic acne image via self-ensemble and stacking.

Fengfeng Zhou, Shuai Liu, Lan Huang, 2022, Technology and Health Care.

Seven non-differentially expressed 'dark biomarkers' show transcriptional dysregulation in chronic lymphocytic leukemia.

Xin Feng, Fengfeng Zhou, Lan Huang, 2023, Personalized medicine.

RIFS: a randomly restarted incremental feature selection algorithm

Shuai Liu, Ruochi Zhang, Fengfeng Zhou, 2017, Scientific Reports.

Decreased Iron Ion Concentrations in the Peripheral Blood Correlate with Coronary Atherosclerosis

Fengfeng Zhou, Fanbo Meng, Heyu Meng, 2022, Nutrients.

EpiTEAmDNA: Sequence feature representation via transfer learning and ensemble learning for identifying multiple DNA epigenetic modification types across species.

Zhaomin Yao, Fengfeng Zhou, Shuai Liu, 2023, Computers in biology and medicine.

Proactive Personality Measurement Using Item Response Theory and Social Media Text Mining

Fengfeng Zhou, Yingdong Si, Peng Wang, 2021, Frontiers in Psychology.

HLAB: learning the BiLSTM features from the ProtBert-encoded proteins for the class I HLA-peptide binding prediction

Fengfeng Zhou, Lan Huang, Fei Li, 2022, Briefings Bioinform..

Detecting Methylomic Biomarkers of Pediatric Autism in the Peripheral Blood Leukocytes

F. Zhou, Xin Feng, Fengfeng Zhou, 2019, Interdisciplinary Sciences: Computational Life Sciences.

Transcriptional Dysregulations of Seven Non-Differentially Expressed Genes as Biomarkers of Metastatic Colon Cancer

Fengfeng Zhou, Yueying Wang, Xiaoying Lv, 2023, Genes.

Orchestrating information across tissues via a novel multitask GAT framework to improve quantitative gene regulation relation modeling for survival analysis

Haotian Zhang, Ruochi Zhang, Fengfeng Zhou, 2023, Briefings Bioinform..

Gender-specific dysregulations of nondifferentially expressed biomarkers of metastatic colon cancer.

Fengfeng Zhou, Lan Huang, Hongmei Liu, 2023, Computational biology and chemistry.

GSRNet, an adversarial training-based deep framework with multi-scale CNN and BiGRU for predicting genomic signals and regions

Zhaomin Yao, Fengfeng Zhou, Lan Huang, 2023, Expert Syst. Appl..

OCMR: A comprehensive framework for optical chemical molecular recognition.

Ruochi Zhang, Yan Wang, Fengfeng Zhou, 2023, Computers in Biology and Medicine.

INS-GNN: Improving graph imbalance learning with self-supervision

Jiliang Tang, Wentao Wang, Fengfeng Zhou, 2023, Inf. Sci..

Heuristic Black-box Adversarial Attacks on Video Recognition Models

Linxi Jiang, Xingxing Wei, Tat-Seng Chua, 2019, AAAI.

Undifferentially Expressed CXXC5 as a Transcriptionally Regulatory Biomarker of Breast Cancer

Fengfeng Zhou, Xiaoying Lv, Hongmei Liu, 2023, Advanced biology.

An FEA surrogate model with Boundary Oriented Graph Embedding approach pdf

Vaneet Aggarwal, Zhengyang Kang, Dheeraj Peddireddy, 2021, ArXiv.

FairCare: Adversarial training of a heterogeneous graph neural network with attention mechanism to learn fair representations of electronic health records

Fengfeng Zhou, Yusi Fan, Qian Yang, 2024, Information Processing & Management.

GANSamples-ac4C: Enhancing ac4C site prediction via generative adversarial networks and transfer learning.

Fengfeng Zhou, Ying Wang, Kewei Li, 2024, Analytical biochemistry.

Computational analysis of circadian-rhythm dysregulated genes exhibiting undifferential expression in Oryza sativa

Fengfeng Zhou, Yanjiao Ren, Yusi Fan, 2024, New Zealand Journal of Crop and Horticultural Science.

ACPPfel: Explainable deep ensemble learning for anticancer peptides prediction based on feature optimization

Fengfeng Zhou, Ying Zhu, Ming-Hsiu Liu, 2024, Frontiers in genetics.

MolFeSCue: enhancing molecular property prediction in data-limited and imbalanced contexts using few-shot and contrastive learning

Fengfeng Zhou, Qian Yang, Yan Wang, 2024, Bioinform..

Machine Learning-Based Integrated Multiomics Characterization of Colorectal Cancer Reveals Distinctive Metabolic Signatures.

Fengfeng Zhou, Fei Yan, Yechao Du, 2024, Analytical chemistry.

PepLand: a large-scale pre-trained peptide representation model for a comprehensive landscape of both canonical and non-canonical amino acids

Fengfeng Zhou, Ningning Chen, Yan Wang, 2023, ArXiv.

Computational Characterization of Undifferentially Expressed Genes with Altered Transcription Regulation in Lung Cancer

Fengfeng Zhou, Ruihao Xin, Yueying Wang, 2023, Genes.