A citation-based method for searching scientific literature

Lingxue Zhu, Jing Lei, Lambertus Klei, Bernie Devlin, Kathryn Roeder. Proc Natl Acad Sci U S A 2019
Times Cited: 22







List of co-cited articles
170 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics.
Kelly Street, Davide Risso, Russell B Fletcher, Diya Das, John Ngai, Nir Yosef, Elizabeth Purdom, Sandrine Dudoit. BMC Genomics 2018
337
13


The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells.
Cole Trapnell, Davide Cacchiarelli, Jonna Grimsby, Prapti Pokharel, Shuqiang Li, Michael Morse, Niall J Lennon, Kenneth J Livak, Tarjei S Mikkelsen, John L Rinn. Nat Biotechnol 2014
13

mRNA-Seq whole-transcriptome analysis of a single cell.
Fuchou Tang, Catalin Barbacioru, Yangzhou Wang, Ellen Nordman, Clarence Lee, Nanlan Xu, Xiaohui Wang, John Bodeau, Brian B Tuch, Asim Siddiqui,[...]. Nat Methods 2009
13

Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma.
Anoop P Patel, Itay Tirosh, John J Trombetta, Alex K Shalek, Shawn M Gillespie, Hiroaki Wakimoto, Daniel P Cahill, Brian V Nahed, William T Curry, Robert L Martuza,[...]. Science 2014
13

A systematic performance evaluation of clustering methods for single-cell RNA-seq data.
Angelo Duò, Mark D Robinson, Charlotte Soneson. F1000Res 2018
83
13

Scalable analysis of cell-type composition from single-cell transcriptomics using deep recurrent learning.
Yue Deng, Feng Bao, Qionghai Dai, Lani F Wu, Steven J Altschuler. Nat Methods 2019
41
13

Validation of noise models for single-cell transcriptomics.
Dominic Grün, Lennart Kester, Alexander van Oudenaarden. Nat Methods 2014
328
13

Low-coverage single-cell mRNA sequencing reveals cellular heterogeneity and activated signaling pathways in developing cerebral cortex.
Alex A Pollen, Tomasz J Nowakowski, Joe Shuga, Xiaohui Wang, Anne A Leyrat, Jan H Lui, Nianzhen Li, Lukasz Szpankowski, Brian Fowler, Peilin Chen,[...]. Nat Biotechnol 2014
464
13

Supervised classification enables rapid annotation of cell atlases.
Hannah A Pliner, Jay Shendure, Cole Trapnell. Nat Methods 2019
88
13

Probabilistic cell-type assignment of single-cell RNA-seq for tumor microenvironment profiling.
Allen W Zhang, Ciara O'Flanagan, Elizabeth A Chavez, Jamie L P Lim, Nicholas Ceglia, Andrew McPherson, Matt Wiens, Pascale Walters, Tim Chan, Brittany Hewitson,[...]. Nat Methods 2019
65
13

The cis-regulatory dynamics of embryonic development at single-cell resolution.
Darren A Cusanovich, James P Reddington, David A Garfield, Riza M Daza, Delasa Aghamirzaie, Raquel Marco-Ferreres, Hannah A Pliner, Lena Christiansen, Xiaojie Qiu, Frank J Steemers,[...]. Nature 2018
127
13

SINCERA: A Pipeline for Single-Cell RNA-Seq Profiling Analysis.
Minzhe Guo, Hui Wang, S Steven Potter, Jeffrey A Whitsett, Yan Xu. PLoS Comput Biol 2015
144
13


Accounting for technical noise in single-cell RNA-seq experiments.
Philip Brennecke, Simon Anders, Jong Kyoung Kim, Aleksandra A Kołodziejczyk, Xiuwei Zhang, Valentina Proserpio, Bianka Baying, Vladimir Benes, Sarah A Teichmann, John C Marioni,[...]. Nat Methods 2013
501
13

SCENIC: single-cell regulatory network inference and clustering.
Sara Aibar, Carmen Bravo González-Blas, Thomas Moerman, Vân Anh Huynh-Thu, Hana Imrichova, Gert Hulselmans, Florian Rambow, Jean-Christophe Marine, Pierre Geurts, Jan Aerts,[...]. Nat Methods 2017
631
13

Deep learning: new computational modelling techniques for genomics.
Gökcen Eraslan, Žiga Avsec, Julien Gagneur, Fabian J Theis. Nat Rev Genet 2019
205
13

Efficient integration of heterogeneous single-cell transcriptomes using Scanorama.
Brian Hie, Bryan Bryson, Bonnie Berger. Nat Biotechnol 2019
123
13

Missing data and technical variability in single-cell RNA-sequencing experiments.
Stephanie C Hicks, F William Townes, Mingxiang Teng, Rafael A Irizarry. Biostatistics 2018
140
13

Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing.
Dmitry Usoskin, Alessandro Furlan, Saiful Islam, Hind Abdo, Peter Lönnerberg, Daohua Lou, Jens Hjerling-Leffler, Jesper Haeggström, Olga Kharchenko, Peter V Kharchenko,[...]. Nat Neurosci 2015
874
13

Melissa: Bayesian clustering and imputation of single-cell methylomes.
Chantriolnt-Andreas Kapourani, Guido Sanguinetti. Genome Biol 2019
15
20

cisTopic: cis-regulatory topic modeling on single-cell ATAC-seq data.
Carmen Bravo González-Blas, Liesbeth Minnoye, Dafni Papasokrati, Sara Aibar, Gert Hulselmans, Valerie Christiaens, Kristofer Davie, Jasper Wouters, Stein Aerts. Nat Methods 2019
76
13

Shared and distinct transcriptomic cell types across neocortical areas.
Bosiljka Tasic, Zizhen Yao, Lucas T Graybuck, Kimberly A Smith, Thuc Nghi Nguyen, Darren Bertagnolli, Jeff Goldy, Emma Garren, Michael N Economo, Sarada Viswanathan,[...]. Nature 2018
401
13

Unsupervised clustering and epigenetic classification of single cells.
Mahdi Zamanighomi, Zhixiang Lin, Timothy Daley, Xi Chen, Zhana Duren, Alicia Schep, William J Greenleaf, Wing Hung Wong. Nat Commun 2018
36
13


Single-cell chromatin accessibility reveals principles of regulatory variation.
Jason D Buenrostro, Beijing Wu, Ulrike M Litzenburger, Dave Ruff, Michael L Gonzales, Michael P Snyder, Howard Y Chang, William J Greenleaf. Nature 2015
777
13

Single-cell methylomes identify neuronal subtypes and regulatory elements in mammalian cortex.
Chongyuan Luo, Christopher L Keown, Laurie Kurihara, Jingtian Zhou, Yupeng He, Junhao Li, Rosa Castanon, Jacinta Lucero, Joseph R Nery, Justin P Sandoval,[...]. Science 2017
186
13

A Single-Cell Atlas of In Vivo Mammalian Chromatin Accessibility.
Darren A Cusanovich, Andrew J Hill, Delasa Aghamirzaie, Riza M Daza, Hannah A Pliner, Joel B Berletch, Galina N Filippova, Xingfan Huang, Lena Christiansen, William S DeWitt,[...]. Cell 2018
206
13


Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis.
Xiangjie Li, Kui Wang, Yafei Lyu, Huize Pan, Jingxiao Zhang, Dwight Stambolian, Katalin Susztak, Muredach P Reilly, Gang Hu, Mingyao Li. Nat Commun 2020
29
13

A benchmark of batch-effect correction methods for single-cell RNA sequencing data.
Hoa Thi Nhu Tran, Kok Siong Ang, Marion Chevrier, Xiaomeng Zhang, Nicole Yee Shin Lee, Michelle Goh, Jinmiao Chen. Genome Biol 2020
127
13

SCnorm: robust normalization of single-cell RNA-seq data.
Rhonda Bacher, Li-Fang Chu, Ning Leng, Audrey P Gasch, James A Thomson, Ron M Stewart, Michael Newton, Christina Kendziorski. Nat Methods 2017
125
9

Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq.
Itay Tirosh, Benjamin Izar, Sanjay M Prakadan, Marc H Wadsworth, Daniel Treacy, John J Trombetta, Asaf Rotem, Christopher Rodman, Christine Lian, George Murphy,[...]. Science 2016
9

Full-length RNA-seq from single cells using Smart-seq2.
Simone Picelli, Omid R Faridani, Asa K Björklund, Gösta Winberg, Sven Sagasser, Rickard Sandberg. Nat Protoc 2014
9

Integrative single-cell analysis.
Tim Stuart, Rahul Satija. Nat Rev Genet 2019
315
9

Multi-Omics Factor Analysis-a framework for unsupervised integration of multi-omics data sets.
Ricard Argelaguet, Britta Velten, Damien Arnol, Sascha Dietrich, Thorsten Zenz, John C Marioni, Florian Buettner, Wolfgang Huber, Oliver Stegle. Mol Syst Biol 2018
195
9



Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells.
Florian Buettner, Kedar N Natarajan, F Paolo Casale, Valentina Proserpio, Antonio Scialdone, Fabian J Theis, Sarah A Teichmann, John C Marioni, Oliver Stegle. Nat Biotechnol 2015
561
9

CellSIUS provides sensitive and specific detection of rare cell populations from complex single-cell RNA-seq data.
Rebekka Wegmann, Marilisa Neri, Sven Schuierer, Bilada Bilican, Huyen Hartkopf, Florian Nigsch, Felipa Mapa, Annick Waldt, Rachel Cuttat, Max R Salick,[...]. Genome Biol 2019
7
28

Robust enumeration of cell subsets from tissue expression profiles.
Aaron M Newman, Chih Long Liu, Michael R Green, Andrew J Gentles, Weiguo Feng, Yue Xu, Chuong D Hoang, Maximilian Diehn, Ash A Alizadeh. Nat Methods 2015
9

A comparison of single-cell trajectory inference methods.
Wouter Saelens, Robrecht Cannoodt, Helena Todorov, Yvan Saeys. Nat Biotechnol 2019
292
9

SLICER: inferring branched, nonlinear cellular trajectories from single cell RNA-seq data.
Joshua D Welch, Alexander J Hartemink, Jan F Prins. Genome Biol 2016
80
9

Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells.
Daniel Ramsköld, Shujun Luo, Yu-Chieh Wang, Robin Li, Qiaolin Deng, Omid R Faridani, Gregory A Daniels, Irina Khrebtukova, Jeanne F Loring, Louise C Laurent,[...]. Nat Biotechnol 2012
809
9


Computational and analytical challenges in single-cell transcriptomics.
Oliver Stegle, Sarah A Teichmann, John C Marioni. Nat Rev Genet 2015
533
9


Single-cell mRNA quantification and differential analysis with Census.
Xiaojie Qiu, Andrew Hill, Jonathan Packer, Dejun Lin, Yi-An Ma, Cole Trapnell. Nat Methods 2017
398
9

CHETAH: a selective, hierarchical cell type identification method for single-cell RNA sequencing.
Jurrian K de Kanter, Philip Lijnzaad, Tito Candelli, Thanasis Margaritis, Frank C P Holstege. Nucleic Acids Res 2019
41
9



Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.