Lan Huang

Transforming OMIC features for classification using siamese convolutional networks.

Link Clustering with Extended Link Similarity and EQ Evaluation Division.

Cervical intervertebral disc calcification with extreme lateral herniation in a child: T2-weighted signal intensity of the involved disc can be restored to normal.

A method for exploring implicit concept relatedness in biomedical knowledge network.

Gene-Disease Interaction Retrieval from Multiple Sources: A Network Based Method.

Key Relation Extraction from Biomedical Publications.

A Central Edge Selection Based Overlapping Community Detection Algorithm for the Detection of Overlapping Structures in Protein⁻Protein Interaction Networks.

Attention based residual network for medicinal fungi near infrared spectroscopy analysis.

sefOri: selecting the best-engineered sequence features to predict DNA replication origins.

Feature selection may improve deep neural networks for the bioinformatics problems.

BioDog, biomarker detection for improving identification power of breast cancer histologic grade in methylomics.

Human body-fluid proteome: quantitative profiling and computational prediction.

AgeGuess, a Methylomic Prediction Model for Human Ages.

Detection and Comparative Analysis of Methylomic Biomarkers of Rheumatoid Arthritis.

Selection of features for patient-independent detection of seizure events using scalp EEG signals.

Detection and Independent Validation of Model-Based Quantitative Transcriptional Regulation Relationships Altered in Lung Cancers.

COVID19XrayNet: A Two-Step Transfer Learning Model for the COVID-19 Detecting Problem Based on a Limited Number of Chest X-Ray Images.

Cancer genotypes prediction and associations analysis from imaging phenotypes: a survey on radiogenomics.

LncMirNet: Predicting LncRNA-miRNA Interaction Based on Deep Learning of Ribonucleic Acid Sequences.

FeSTwo, a two-step feature selection algorithm based on feature engineering and sampling for the chronological age regression problem.

A comprehensive comparison of residue-level methylation levels with the regression-based gene-level methylation estimations by ReGear.

A Machine Learning-Based Investigation of Gender-Specific Prognosis of Lung Cancers.

A dynamic recursive feature elimination framework (dRFE) to further refine a set of OMIC biomarkers.

Females and Males Show Differences in Early-Stage Transcriptomic Biomarkers of Lung Adenocarcinoma and Lung Squamous Cell Carcinoma.

Extracting Biomedical Entity Relations using Biological Interaction Knowledge.

A Novel Position-Specific Encoding Algorithm (SeqPose) of Nucleotide Sequences and Its Application for Detecting Enhancers.

RIFS2D: A two-dimensional version of a randomly restarted incremental feature selection algorithm with an application for detecting low-ranked biomarkers.

m6AGE: A Predictor for N6-Methyladenosine Sites Identification Utilizing Sequence Characteristics and Graph Embedding-Based Geometrical Information.

Structural basis for CSPG4 as a receptor for TcdB and a therapeutic target in Clostridioides difficile infection.

Computational pan-cancer characterization of model-based quantitative transcription regulations dysregulated in regional lymph node metastasis.

DiaMole: Mole Detection and Segmentation Software for Mobile Phone Skin Images.

DeepSec: a deep learning framework for secreted protein discovery in human body fluids.

Coarse-Grained Pruning of Neural Network Models Based on Blocky Sparse Structure.

HBFP: a new repository for human body fluid proteome.

Minimum Distribution Support Vector Clustering.

LGFC-CNN: Prediction of lncRNA-Protein Interactions by Using Multiple Types of Features through Deep Learning.

Zoo: Selecting Transcriptomic and Methylomic Biomarkers by Ensembling Animal-Inspired Swarm Intelligence Feature Selection Algorithms.

Artificial intelligence in clinical research of cancers.

Multi-channel graph attention autoencoders for disease-related lncRNAs prediction.

Identification of Prognosis Biomarkers for High-Grade Serous Ovarian Cancer Based on Stemness.

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

MuscNet, a Weighted Voting Model of Multi-Source Connectivity Networks to Predict Mild Cognitive Impairment Using Resting-State Functional MRI.

Multi-input adaptive neural network for automatic detection of cervical vertebral landmarks on X-rays.

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

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.

EGFAFS: A Novel Feature Selection Algorithm Based on Explosion Gravitation Field Algorithm.

Deep Multilabel Multilingual Document Learning for Cross-Lingual Document Retrieval.

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

Data resources and computational methods for lncRNA-disease association prediction.

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

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

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

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

OCMR: A comprehensive framework for optical chemical molecular recognition.

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

Multi-task prediction-based graph contrastive learning for inferring the relationship among lncRNAs, miRNAs and diseases.

ILC1-derived IFN-γ regulates macrophage activation in colon cancer.

Reconstructing the cytokine view for the multi-view prediction of COVID-19 mortality.

Correction: ILC1-derived IFN-γ regulates macrophage activation in colon cancer.

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

2.5D transfer deep learning model for segmentation of contrast-enhancing lesions on brain magnetic resonance imaging of multiple sclerosis and neuromyelitis optica spectrum disorder.

MolFeSCue: Enhancing molecular property prediction in Data-Limited and imbalanced contexts using Few-Shot and contrastive learning.