alphaFeedback
MD
Gene Expression ProfilingAlgorithmsbioinformaticsSingle-Cell Analysiscs.CVSoftwareDeep LearningSingle-Cell Gene Expression Analysiscs.IRcs.LG

On Valency

published · living versions
W_267uj4ev·v1 · currentpublished

Preprints & journals

59 papers in the corpus · 2002–2025
Compositional data modeling of high-dimensional single cell RNA-seq (CoDA-hd): its advantages over commonly used normalization approaches.41121316 · Huang, Jinghan, Yam, Sheung Chi Phillip, Leung, K S et al.2025 · 1 citationJournal of translational medicine. 2025;23(1):1143
Improving Tree Probability Estimation with Stochastic Optimization and Variance Reduction.39314503 · Xie, Tianyu, Yuan, Musu, Deng, Minghua et al.2024 · 2 citationsArXiv. 2024
scPLAN: a hierarchical computational framework for single transcriptomics data annotation, integration and cell-type label refinement.38935069 · Guo, Qirui, Yuan, Musu, Zhang, Lei et al.2024 · 3 citationsBriefings in bioinformatics. 2024;25(4)
scBOL: a universal cell type identification framework for single-cell and spatial transcriptomics data.38678389 · Zhai, Yuyao, Chen, Liang, Deng, Minghua2024 · 14 citationsBriefings in bioinformatics. 2024;25(3)
SPANN: annotating single-cell resolution spatial transcriptome data with scRNA-seq data.38279647 · Yuan, Musu, Wan, Hui, Wang, Zihao et al.2024 · 9 citationsBriefings in bioinformatics. 2024;25(2)
scEVOLVE: cell-type incremental annotation without forgetting for single-cell RNA-seq data.38366803 · Zhai, Yuyao, Chen, Liang, Deng, Minghua2024 · 3 citationsBriefings in bioinformatics. 2024;25(2)
Continually adapting pre-trained language model to universal annotation of single-cell RNA-seq data.38388681 · Wan, Hui, Yuan, Musu, Fu, Yiwei et al.2024 · 10 citationsBriefings in bioinformatics. 2024;25(2)
Learning a generalized graph transformer for protein function prediction in dissimilar sequences.39657158 · Fu, Yiwei, Gu, Zhonghui, Luo, Xiao et al.2024 · 13 citationsGigaScience. 2024;13
ESICCC as a systematic computational framework for evaluation, selection, and integration of cell-cell communication inference methods.37827697 · Luo, Jiaxin, Deng, Minghua, Zhang, Xuegong et al.2023 · 74 citationsGenome research. 2023;33(10):1788-1805
Hierarchical graph transformer with contrastive learning for protein function prediction.37369035 · Gu, Zhonghui, Luo, Xiao, Chen, Jiaxiao et al.2023 · 86 citationsBioinformatics (Oxford, England). 2023;39(7)
TGNN: A Joint Semi-supervised Framework for Graph-level Classification2304.11688v1 · Wei Ju, Xiao Luo, Meng Qu et al.2023 · 43 citationsarXiv
scGAD: a new task and end-to-end framework for generalized cell type annotation and discovery.36869836 · Zhai, Yuyao, Chen, Liang, Deng, Minghua2023 · 17 citationsBriefings in bioinformatics. 2023;24(2)
Coevolution-based prediction of key allosteric residues for protein function regulation.36799896 · Xie, Juan, Zhang, Weilin, Zhu, Xiaolei et al.2023 · 40 citationseLife. 2023;12
Clustering single-cell multi-omics data with MoClust.36383167 · Yuan, Musu, Chen, Liang, Deng, Minghua2023 · 22 citationsBioinformatics (Oxford, England). 2023;39(1)
scEMAIL: Universal and Source-free Annotation Method for scRNA-seq Data with Novel Cell-type Perception.36608843 · Wan, Hui, Chen, Liang, Deng, Minghua2023 · 10 citationsGenomics, proteomics & bioinformatics. 2022;20(5):939-958
Clustering CITE-seq data with a canonical correlation-based deep learning method.36072672 · Yuan, Musu, Chen, Liang, Deng, Minghua2022 · 9 citationsFrontiers in genetics. 2022;13:977968
CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning.35675236 · Luo, Xiao, Ju, Wei, Qu, Meng et al.2024 · 65 citationsIEEE transactions on neural networks and learning systems. 2022;PP
Statistical Methods for Microbiome Compositional Data Network Inference: A Survey.35404093 · Chen, Liang, Wan, Hui, He, Qiuyan et al.2022 · 12 citationsJournal of computational biology : a journal of computational molecular cell biology. 2022;29(7):704-723
GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification.35398673 · Ju, Wei, Luo, Xiao, Ma, Zeyu et al.2022 · 47 citationsNeural networks : the official journal of the International Neural Network Society. 2022;151:70-79
scNAME: neighborhood contrastive clustering with ancillary mask estimation for scRNA-seq data.34999761 · Wan, Hui, Chen, Liang, Deng, Minghua2023 · 74 citationsBioinformatics (Oxford, England). 2022;38(6):1575-1583
scMRA: a robust deep learning method to annotate scRNA-seq data with multiple reference datasets.34623390 · Yuan, Musu, Chen, Liang, Deng, Minghua2023 · 39 citationsBioinformatics (Oxford, England). 2022;38(3):738-745
ARGO: Modeling Heterogeneity in E-commerce Recommendation2109.05789v2 · Daqing Wu, Xiao Luo, Zeyu Ma et al.2021 · 9 citationsarXiv
Statistical computation methods for microbiome compositional data network inference2109.01993v1 · Liang Chen, Qiuyan He, Hui Wan et al.2021 · 0 citationsarXiv
Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation2108.03372v4 · Shengsen Wu, Liang Chen, Yihang Lou et al.2021 · 10 citationsarXiv
DNA-GCN: Graph convolutional networks for predicting DNA-protein binding2106.01836v1 · Yuhang Guo, Xiao Luo, Liang Chen et al.2021 · 7 citationsIn ICIC 2021
Deep Unsupervised Hashing by Distilled Smooth Guidance2105.06125v1 · Xiao Luo, Zeyu Ma, Daqing Wu et al.2021 · 3 citationsICME 2021
Single-cell RNA-seq data semi-supervised clustering and annotation via structural regularized domain adaptation.33098418 · Chen, Liang, He, Qiuyan, Zhai, Yuyao et al.2021 · 55 citationsBioinformatics (Oxford, England). 2021;37(6):775-784
Graph Contrastive Clustering2104.01429v1 · Huasong Zhong, Jianlong Wu, Chong Chen et al.2021 · 157 citationsarXiv
Direct interaction network inference for compositional data via codaloss.33106076 · Chen, Liang, He, Shun, Zhai, Yuyao et al.2021 · 1 citationJournal of bioinformatics and computational biology. 2020;18(6):2050037
CIMON: Towards High-quality Hash Codes2010.07804v4 · Xiao Luo, Daqing Wu, Zeyu Ma et al.2020 · 36 citationsarXiv
Deep soft K-means clustering with self-training for single-cell RNA sequence data.33575592 · Chen, Liang, Wang, Weinan, Zhai, Yuyao et al.2021 · 143 citationsNAR genomics and bioinformatics. 2020;2(2):lqaa039
Sparsity-Penalized Stacked Denoising Autoencoders for Imputing Single-Cell RNA-Seq Data.32403260 · Chi, Weilai, Deng, Minghua2021 · 13 citationsGenes. 2020;11(5)
scRMD: imputation for single cell RNA-seq data via robust matrix decomposition.32119079 · Chen, Chong, Wu, Changjing, Wu, Linjie et al.2020 · 63 citationsBioinformatics (Oxford, England). 2020;36(10):3156-3161
Single-Cell Transcriptome Data Clustering via Multinomial Modeling and Adaptive Fuzzy K-Means Algorithm.32362908 · Chen, Liang, Wang, Weinan, Zhai, Yuyao et al.2024 · 35 citationsFrontiers in genetics. 2020;11:295
A Survey on Deep Hashing Methods2003.03369v5 · Xiao Luo, Haixin Wang, Daqing Wu et al.2020 · 239 citationsarXiv
Expectation pooling: an effective and interpretable pooling method for predicting DNA-protein binding.31598637 · Luo, Xiao, Tu, Xinming, Ding, Yang et al.2020 · 39 citationsBioinformatics (Oxford, England). 2020;36(5):1405-1412
Correction to: Predicting protein inter-residue contacts using composite likelihood maximization and deep learning.31783729 · Zhang, Haicang, Zhang, Qi, Ju, Fusong et al.2020 · 1 citationBMC bioinformatics. 2019;20(1):616
Deepprune: Learning Efficient and Interpretable Convolutional Networks Through Weight Pruning for Predicting DNA-Protein Binding.31824562 · Luo, Xiao, Chi, Weilai, Deng, Minghua2024 · 20 citationsFrontiers in genetics. 2019;10:1145
Predicting protein inter-residue contacts using composite likelihood maximization and deep learning.31664895 · Zhang, Haicang, Zhang, Qi, Ju, Fusong et al.2019 · 15 citationsBMC bioinformatics. 2019;20(1):537
Compositional data network analysis via lasso penalized D-trace loss.31220226 · Yuan, Huili, He, Shun, Deng, Minghua2020 · 21 citationsBioinformatics (Oxford, England). 2019;35(18):3404-3411
RaptorX-Angle: real-value prediction of protein backbone dihedral angles through a hybrid method of clustering and deep learning.29745828 · Gao, Yujuan, Wang, Sheng, Deng, Minghua et al.2019 · 52 citationsBMC bioinformatics. 2018;19(Suppl 4):100
Localized high abundance of Marine Group II archaea in the subtropical Pearl River Estuary: implications for their niche adaptation.29235710 · Xie, Wei, Luo, Haiwei, Murugapiran, Senthil K et al.2019 · 73 citationsEnvironmental microbiology. 2018;20(2):734-754
SVmine improves structural variation detection by integrative mining of predictions from multiple algorithms.29036467 · Xia, Yuchao, Liu, Yun, Deng, Minghua et al.2018 · 8 citationsBioinformatics (Oxford, England). 2017;33(21):3348-3354
Improving residue-residue contact prediction via low-rank and sparse decomposition of residue correlation matrix.26920058 · Zhang, Haicang, Gao, Yujuan, Deng, Minghua et al.2016 · 20 citationsBiochemical and biophysical research communications. 2016;472(1):217-22
Inference of Markovian properties of molecular sequences from NGS data and applications to comparative genomics.26130573 · Ren, Jie, Song, Kai, Deng, Minghua et al.2017 · 28 citationsBioinformatics (Oxford, England). 2016;32(7):993-1000
CCLasso: correlation inference for compositional data through Lasso.26048598 · Fang, Huaying, Huang, Chengcheng, Zhao, Hongyu et al.2016 · 191 citationsBioinformatics (Oxford, England). 2015;31(19):3172-80
Integrative Approaches for microRNA Target Prediction: Combining Sequence Information and the Paired mRNA and miRNA Expression Profiles.23467572 · Naifang, Su, Minping, Qian, Minghua, Deng2021 · 16 citationsCurrent bioinformatics. 2013;8(1):37-45
Career total: 106 works. 59 are in this corpus.Showing the 50 most recent.

Profile built from the corpus for this byline.

Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.