Ecosyste.ms: Papers
An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.
Projects: bioconductor: SIMLR
https://packages.ecosyste.ms/registries/bioconductor.org/packages/SIMLR
Single-cell Interpretation via Multi-kernel LeaRning (SIMLR)
2 versions
Latest release: about 1 year ago
1 dependent package
21,631 downloads total
Papers Mentioning SIMLR 40
10.12688/f1000research.11622.3
CyTOF workflow: differential discovery in high-throughput high-dimensional cytometry datasetsCited by: 205
Author(s): Małgorzata Nowicka, Carsten Krieg, Helena L. Crowell, Lukas M. Weber, Felix J. Hartmann, Silvia Guglietta, Burkhard Becher, Mitchell P. Levesque, Mark D. Robinson
Software Mentions: 15
Published: over 5 years ago
10.3389/fgene.2016.00163
Single-Cell Transcriptomics Bioinformatics and Computational ChallengesCited by: 101
Author(s): Olivier Poirion, Xun Zhu, Travers Ching, Lana X. Garmire
Software Mentions: 15
Published: about 8 years ago
10.1002/1873-3468.12684
Computational approaches for interpreting sc <scp>RNA</scp> ‐seq dataCited by: 111
Author(s): Raghd Rostom, Valentine Svensson, Sarah A. Teichmann, Gozde Kar
Software Mentions: 14
Published: over 7 years ago
10.1186/s12859-021-04210-8
Contrastive self-supervised clustering of scRNA-seq dataCited by: 28
Author(s): Madalina Ciortan, Matthieu Defrance
Software Mentions: 13
Published: over 3 years ago
10.7554/eLife.48994
Self-assembling manifolds in single-cell RNA sequencing dataCited by: 48
Author(s): Alexander J. Tarashansky, Yuan Xue, Pengyang Li, Stephen R. Quake, Bo Wang
Software Mentions: 12
Published: about 5 years ago
10.12688/f1000research.15809.2
Comparison of clustering tools in R for medium-sized 10x Genomics single-cell RNA-sequencing dataCited by: 90
Author(s): Saskia Freytag, Tian Li, Ingrid Lönnstedt, Milica Ng, Melanie Bahlo
Software Mentions: 12
Published: almost 6 years ago
10.1242/dev.177428
Novel dynamics of human mucociliary differentiation revealed by single-cell RNA sequencing of nasal epithelial culturesCited by: 182
Author(s): Sandra Ruiz García, Marie Deprez, Kévin Lebrigand, Amélie Cavard, Agnès Paquet, Marie-Jeanne Arguel, Virginie Magnone, Marin Truchi, Ignacio Caballero, Sylvie Leroy, Charles‐Hugo Marquette, Brice Marcet, Pascal Barbry, Laure‐Emmanuelle Zaragosi
Software Mentions: 11
Published: about 5 years ago
10.3389/fgene.2019.00629
Single-Cell RNA Sequencing-Based Computational Analysis to Describe Disease HeterogeneityCited by: 23
Author(s): Tao Zeng, Hao Dai
Software Mentions: 10
Published: over 5 years ago
10.1186/s13059-020-02034-y
APEC: an accesson-based method for single-cell chromatin accessibility analysisCited by: 11
Author(s): Bin Li, Young Li, Kun Li, Lianbang Zhu, Qiaoni Yu, Pengfei Cai, Jingwen Fang, Wen Zhang, Pengcheng Du, Chen Jiang, Jun Lin, Kun Qu
Software Mentions: 10
Published: over 4 years ago
10.1093/bioinformatics/btz704
Spectrum: fast density-aware spectral clustering for single and multi-omic dataCited by: 43
Author(s): Christopher R. John, David S. Watson, Michael R. Barnes, Costantino Pitzalis, Myles Lewis
Software Mentions: 10
Published: about 5 years ago
10.1371/journal.pcbi.1009064
coupleCoC+: An information-theoretic co-clustering-based transfer learning framework for the integrative analysis of single-cell genomic dataCited by: 7
Author(s): Pengcheng Zeng, Zhixiang Lin
Software Mentions: 9
Published: over 3 years ago
10.3389/fgene.2019.01253
Benchmark and Parameter Sensitivity Analysis of Single-Cell RNA Sequencing Clustering MethodsCited by: 56
Author(s): Monika Krzak, Yordan P. Raykov, Alexis Boukouvalas, Luisa Cutillo, Claudia Angelini
Software Mentions: 9
Published: almost 5 years ago
10.1093/jmcb/mjaa052
Imputing single-cell RNA-seq data by considering cell heterogeneity and prior expression of dropoutsCited by: 18
Author(s): Lihua Zhang, Shihua Zhang
Software Mentions: 9
Published: about 4 years ago
10.1186/s13046-021-01955-1
What are the applications of single-cell RNA sequencing in cancer research: a systematic reviewCited by: 28
Author(s): Lvyuan Li, Fang Xiong, Yumin Wang, Shanshan Zhang, Zhaojian Gong, Xiayu Li, Yi He, Lei Shi, Fuyan Wang, Qianjin Liao, Bo Xiang, Ming Zhou, Xiaoling Li, Yong Li, Guiyuan Li, Zhaoyang Zeng, Wei Xiong, Can Guo
Software Mentions: 9
Published: over 3 years ago
10.3389/fgene.2021.665843
RFCell: A Gene Selection Approach for scRNA-seq Clustering Based on Permutation and Random ForestCited by: 3
Author(s): Yuan Zhao, Zhao-Yu Fang, Cui-Xiang Lin, Chao Deng, Yunpei Xu, Hongdong Li
Software Mentions: 8
Published: over 3 years ago
10.3390/genes12020311
Clustering Single-Cell RNA-Seq Data with Regularized Gaussian Graphical ModelCited by: 7
Author(s): Zhenqiu Liu
Software Mentions: 8
Published: over 3 years ago
10.1186/s12864-019-5747-5
scNPF: an integrative framework assisted by network propagation and network fusion for preprocessing of single-cell RNA-seq dataCited by: 10
Author(s): Michael Fraser, Guoli Ji, Pengchao Ye, Yuqi Long, Xuesong Xiao, Shuchao Li, Yangfeng Su, Xiaohui Wu
Software Mentions: 8
Published: over 5 years ago
10.3389/fgene.2020.00295
Single-Cell Transcriptome Data Clustering via Multinomial Modeling and Adaptive Fuzzy K-Means AlgorithmCited by: 13
Author(s): Liang Chen, Weinan Wang, Yuyao Zhai, Minghua Deng
Software Mentions: 8
Published: over 4 years ago
10.1371/journal.pone.0210571
Deterministic column subset selection for single-cell RNA-SeqCited by: 0
Author(s): Shannon R. McCurdy, Vasilis Ntranos, Lior Pachter
Software Mentions: 8
Published: almost 6 years ago
10.1186/s12859-018-2226-y
DrImpute: imputing dropout events in single cell RNA sequencing dataCited by: 243
Author(s): Wuming Gong, Il-Youp Kwak, Pruthvi Pota, Naoko Koyano-Nakagawa, Daniel J. Garry
Software Mentions: 6
Published: over 6 years ago
10.1186/s12885-021-08617-7
Precision treatment exploration of breast cancer based on heterogeneity analysis of lncRNAs at the single-cell levelCited by: 3
Author(s): Yan Zhang, Denan Zhang, Qingkang Meng, Ziqi Liu, Hongbo Xie, Lei Liu, Fei Xu, Xiujie Chen
Software Mentions: 6
Published: over 3 years ago
10.3389/fgene.2021.646936
A Comparison for Dimensionality Reduction Methods of Single-Cell RNA-seq DataCited by: 44
Author(s): Ruizhi Xiang, Wencan Wang, Lei Yang, Shiyuan Wang, Chaohan Xu, Xiaowen Chen
Software Mentions: 5
Published: over 3 years ago
10.1093/gigascience/giz105
rCASC: reproducible classification analysis of single-cell sequencing dataCited by: 24
Author(s): Luca Alessandrì, Francesca Cordero, Marco Beccuti, Maddalena Arigoni, Martina Olivero, Greta Romano, Sergio Rabellino, Nicola Licheri, Gennaro De Libero, Luigia Pace, Raffaele Calogero
Software Mentions: 5
Published: about 5 years ago
10.3389/fgene.2021.612670
Non-linear Normalization for Non-UMI Single Cell RNA-SeqCited by: 3
Author(s): Zhijin Wu, Kenong Su, Hao Wu
Software Mentions: 5
Published: over 3 years ago
10.1038/s41598-020-69552-4
Geographic variation in cardiometabolic risk factor prevalence explained by area-level disadvantage in the Illawarra-Shoalhaven region of the NSW, AustraliaCited by: 0
Author(s): Renin Toms, Darren J Mayne, Xiaoqi Feng, Andrew D Bonney
Software Mentions: 5
Published: over 4 years ago
10.26508/lsa.201900443
De novo prediction of cell-type complexity in single-cell RNA-seq and tumor microenvironmentsCited by: 7
Author(s): Hyung Jun Woo, Boris Winterhoff, Timothy K. Starr, Constantin F. Aliferis, Jinhua Wang
Software Mentions: 4
Published: over 5 years ago
10.3389/fgene.2020.572242
EC-PGMGR: Ensemble Clustering Based on Probability Graphical Model With Graph Regularization for Single-Cell RNA-seq DataCited by: 4
Author(s): Youwen Zhu, Dexin Zhang, Xiaofei Zhang, Ming Yi, Le Ou-Yang, Mengyun Wu
Software Mentions: 4
Published: about 4 years ago
10.1093/bioinformatics/btz778
GPseudoClust: deconvolution of shared pseudo-profiles at single-cell resolutionCited by: 5
Author(s): Magdalena E Strauß, Paul Kirk, John E. Reid, Lorenz Wernisch
Software Mentions: 4
Published: about 5 years ago
10.1016/j.gpb.2018.08.003
VASC: Dimension Reduction and Visualization of Single-cell RNA-seq Data by Deep Variational AutoencoderCited by: 159
Author(s): Dongfang Wang, Jin Gu
Software Mentions: 4
Published: about 6 years ago
10.1016/j.gpb.2018.10.003
SSCC: A Novel Computational Framework for Rapid and Accurate Clustering Large-scale Single Cell RNA-seq DataCited by: 29
Author(s): Xianwen Ren, Liangtao Zheng, Zemin Zhang
Software Mentions: 4
Published: over 5 years ago
10.3390/ijms21165797
Visualizing Single-Cell RNA-seq Data with Semisupervised Principal Component AnalysisCited by: 10
Author(s): Zhenqiu Liu
Software Mentions: 3
Published: over 4 years ago
10.1371/journal.pone.0180583
Dr.seq2: A quality control and analysis pipeline for parallel single cell transcriptome and epigenome dataCited by: 24
Author(s): Chengchen Zhao, Shengen Hu, Xiao Huo, Yong Zhang
Software Mentions: 3
Published: over 7 years ago
10.1371/journal.pone.0223179
Geographic variation in cardiometabolic risk distribution: A cross-sectional study of 256,525 adult residents in the Illawarra-Shoalhaven region of the NSW, AustraliaCited by: 4
Author(s): Renin Toms, Darren J Mayne, Xiaoqi Feng, Andrew D Bonney
Software Mentions: 3
Published: about 5 years ago
10.3389/fgene.2020.00407
An Adaptive Sparse Subspace Clustering for Cell Type IdentificationCited by: 15
Author(s): Ruiqing Zheng, Zhenlan Liang, Xiang Chen, Yu Tian, Chen Cao, Min Li
Software Mentions: 3
Published: over 4 years ago
10.3390/genes10020098
A Hybrid Clustering Algorithm for Identifying Cell Types from Single-Cell RNA-Seq DataCited by: 14
Author(s): Xiaoshu Zhu, Hongdong Li, Yunpei Xu, Lei Guo, Fang‐Xiang Wu, Guihua Duan, Jianxin Wang
Software Mentions: 3
Published: almost 6 years ago
10.1186/s12864-020-07038-3
Multi-scale supervised clustering-based feature selection for tumor classification and identification of biomarkers and targets on genomic dataCited by: 17
Author(s): Da Xu, Jialin Zhang, Hanxiao Xu, Yusen Zhang, Wei Chen, Rui Gao, Matthias Dehmer
Software Mentions: 3
Published: about 4 years ago
10.1186/s12859-019-2817-2
A computational method to aid the design and analysis of single cell RNA-seq experiments for cell type identificationCited by: 7
Author(s): Douglas N. Abrams, Parveen Kumar, R. Krishna Murthy Karuturi, Joshy George
Software Mentions: 3
Published: over 5 years ago
10.1038/s41419-021-04092-x
Prognostic correlations with the microbiome of breast cancer subtypesCited by: 36
Author(s): Sagarika Banerjee, Zhi Wei, Tian Tian, Deepak Bose, Natalie Shih, Michael D. Feldman, Thaer Khoury, Angela De Michele, Erle S. Robertson
Software Mentions: 2
Published: about 3 years ago
10.3389/fninf.2018.00070
Unsupervised Manifold Learning Using High-Order Morphological Brain Networks Derived From T1-w MRI for Autism DiagnosisCited by: 63
Author(s): Mayssa Soussia, Islem Rekik
Software Mentions: 2
Published: about 6 years ago
10.1186/s12859-019-3179-5
Autoencoder-based cluster ensembles for single-cell RNA-seq data analysisCited by: 32
Author(s): Thomas A Geddes, Tai-Yun Kim, Lihao Nan, James G. Burchfield, Jean Yee Hwa Yang, Dacheng Tao, Pengyi Yang
Software Mentions: 2
Published: almost 5 years ago