Wenxian Yang

发表

Low complexity probabilistic demand-side bidding strategies for Singapore electricity market

Wenxian Yang, Rongshan Yu, Liu Xiang, 2018, 2018 IEEE 4th World Forum on Internet of Things (WF-IoT).

Quantifying the benefits to consumers for demand response with a statistical elasticity model

Rongshan Yu, Wenxian Yang, Wenxian Yang, 2014 .

Optimal real-time price based on a statistical demand elasticity model of electricity

Susanto Rahardja, Rongshan Yu, Wenxian Yang, 2011, 2011 IEEE First International Workshop on Smart Grid Modeling and Simulation (SGMS).

Snipe: Highly sensitive pathogen detection from metagenomic sequencing data

Wenxian Yang, Rongshan Yu, Lihong Huang, 2020, bioRxiv.

A machine learning framework to determine geolocations from metagenomic profiling

Wenxian Yang, Rongshan Yu, Lihong Huang, 2020, Biology Direct.

Deepfakes: A new threat to image fabrication in scientific publications?

Wenxian Yang, Rongshan Yu, Liansheng Wang, 2022, Patterns.

Community assessment of methods to deconvolve cellular composition from bulk gene expression

Laura M. Heiser, A. Gentles, J. Saez-Rodriguez, 2022 .

Demand response based on voluntary time-dependent pricing scheme

C. C. Chai, Wenxian Yang, Rongshan Yu, 2014, APSIPA Transactions on Signal and Information Processing.

Protocol to estimate cell type proportions from bulk RNA-seq using DAISM-DNNXMBD

Shangze Wu, Wenxian Yang, Rongshan Yu, 2022, STAR protocols.

UltraStrain: An NGS-Based Ultra Sensitive Strain Typing Method for Salmonella enterica

Wenxian Yang, Rongshan Yu, Lihong Huang, 2019, Front. Genet..

Prioritizing prognostic-associated subpopulations and individualized recurrence risk signatures from single-cell transcriptomes of colorectal cancer

Jialiang Huang, M. Tong, Jiajing Xie, 2022, bioRxiv.

DAISM-DNN: Highly accurate cell type proportion estimation with in silico data augmentation and deep neural networks

Wenxian Yang, Rongshan Yu, Yating Lin, 2020 .

A Community Challenge to Predict Clinical Outcomes After Immune Checkpoint Blockade in Non-Small Cell Lung Cancer

J. Szustakowski, T. Laajala, Raghvendra Mall, 2022, bioRxiv.

Comparison of High-Throughput Single-Cell RNA Sequencing Data Processing Pipelines

Mingxuan Gao, Mingyi Ling, Xinwei Tang, 2020, bioRxiv.

scSparkXMBD: High-Performance scRNA-seq Data Processing with Spark

Mingxuan Gao, Wenxian Yang, Rongshan Yu, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Multiplexed imaging mass cytometry reveals distinct tumor-immune microenvironments linked to immunotherapy responses in melanoma

Qiyuan Li, Wenxian Yang, Rongshan Yu, 2022, bioRxiv.

Comparison of High-Throughput Single-Cell RNA Sequencing Data Processing Pipelines

Wenxian Yang, Rongshan Yu, Ying Qiao, 2020, bioRxiv.

Performance evaluation of lossy quality compression algorithms for RNA-seq data

Wenxian Yang, Rongshan Yu, Shun Wang, 2020, BMC Bioinformatics.

Ratio of the interferon-γ signature to the immunosuppression signature predicts anti-PD-1 therapy response in melanoma

Jinyu Yu, Wenxian Yang, Rongshan Yu, 2021, npj Genomic Medicine.

Ratio of the interferon-γ signature to the immunosuppression signature predicts anti-PD-1 therapy response in melanoma

Jinyu Yu, Wengang Zhou, Wenxian Yang, 2020, bioRxiv.

Inconsistent prediction capability of ImmuneCells.Sig across different RNA-seq datasets

Wenxian Yang, Rongshan Yu, Canqiang Xu, 2021, Nature Communications.

Deep representation features from DreamDIAXMBD improve the analysis of data-independent acquisition proteomics

Mingxuan Gao, Jianwei Shuai, Wenxian Yang, 2021, Communications Biology.

DreamDIA-XMBD: deep representation features improve the analysis of data-independent acquisition proteomics

Jiahuai Han, Mingxuan Gao, Jianwei Shuai, 2021, bioRxiv.

Diamond: a multi-modal DIA mass spectrometry data processing pipeline

Rongshan Yu, Wenxian Yang, Chenxin Li, 2021, Bioinform..

A Statistical Demand-Price Model With Its Application in Optimal Real-Time Price

Wenxian Yang, Susanto Rahardja, Rongshan Yu, 2012, IEEE Transactions on Smart Grid.

Dice-XMBD: Deep Learning-Based Cell Segmentation for Imaging Mass Cytometry

Jiahuai Han, Liansheng Wang, Wenxian Yang, 2021, bioRxiv.

Comprehensive modeling and joint optimization of ice thermal and battery energy storage with provision of grid services

Rongshan Yu, Chin Choy Chai, Wuhua Hu, 2017, IEEE Region 10 Conference.

Modeling price elasticity of electricity demand using AIDS

Wenxian Yang, Rongshan Yu, Xiaoming Bao, 2014, ISGT 2014.

Using deep learning to predict anti-PD-1 response in melanoma and lung cancer patients from histopathology images

Wenxian Yang, Rongshan Yu, C. Cui, 2020, Translational oncology.

A machine learning framework to determine geolocations from metagenomic profiling

Wenxian Yang, Rongshan Yu, Lihong Huang, 2020, Biology direct.

DAISM-DNNXMBD: Highly accurate cell type proportion estimation with in silico data augmentation and deep neural networks

Xu Xiao, Rongshan Yu, Yating Lin, 2020, bioRxiv.

IMCellXMBD: A statistical approach for robust cell identification and quantification from imaging mass cytometry images

Wenxian Yang, Rongshan Yu, Xu Xiao, 2021, bioRxiv.

An overview and evaluation on demand response program in Singapore electricity market

C. C. Chai, Wenxian Yang, Liu Xiang, 2014, 2014 IEEE Conference on Energy Conversion (CENCON).

Efficient Implementation of $k$-Nearest Neighbor Classifier Using Vote Count Circuit

Wenyu Jiang, Wenxian Yang, Rongshan Yu, 2014, IEEE Transactions on Circuits and Systems II: Express Briefs.

cgMSI: pathogen detection within species from nanopore metagenomic sequencing data

Wenxian Yang, Rongshan Yu, Lihong Huang, 2023, BMC Bioinformatics.

DAISM-DNNXMBD: Highly accurate cell type proportion estimation with in silico data augmentation and deep neural networks

Jiahuai Han, Wenxian Yang, Rongshan Yu, 2022, Patterns.

Community assessment of methods to deconvolve cellular composition from bulk gene expression

Laura M. Heiser, J. Guinney, F. Petitprez, 2024, bioRxiv.

SurvMamba: State Space Model with Multi-grained Multi-modal Interaction for Survival Prediction

Wenxian Yang, Rongshan Yu, Yuxiang Lin, 2024, ArXiv.

Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction

Wenxian Yang, Rongshan Yu, Liansheng Wang, 2024, ArXiv.

Performance evaluation of lossy quality compression algorithms for RNA-seq data

Wenxian Yang, Rongshan Yu, Shun Wang, 2020, BMC Bioinformatics.

Tracing unknown tumor origins with a biological-pathway-based transformer model

Wenxian Yang, Shijie Luo, Yuxiang Lin, 2024, Cell reports methods.

Performance Evaluation of IMP: A Rapid Secondary Analysis Pipeline for NGS Data

Wenxian Yang, Rongshan Yu, Xiang Zhang, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).