A citation-based method for searching scientific literature

Kevin E Wu, Kathryn E Yost, Howard Y Chang, James Zou. Proc Natl Acad Sci U S A 2021
Times Cited: 8







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



Times Cited
  Times     Co-cited
Similarity


Joint profiling of chromatin accessibility and gene expression in thousands of single cells.
Junyue Cao, Darren A Cusanovich, Vijay Ramani, Delasa Aghamirzaie, Hannah A Pliner, Andrew J Hill, Riza M Daza, Jose L McFaline-Figueroa, Jonathan S Packer, Lena Christiansen,[...]. Science 2018
265
75

Comprehensive Integration of Single-Cell Data.
Tim Stuart, Andrew Butler, Paul Hoffman, Christoph Hafemeister, Efthymia Papalexi, William M Mauck, Yuhan Hao, Marlon Stoeckius, Peter Smibert, Rahul Satija. Cell 2019
62


Deep generative modeling for single-cell transcriptomics.
Romain Lopez, Jeffrey Regier, Michael B Cole, Michael I Jordan, Nir Yosef. Nat Methods 2018
252
62

Simultaneous epitope and transcriptome measurement in single cells.
Marlon Stoeckius, Christoph Hafemeister, William Stephenson, Brian Houck-Loomis, Pratip K Chattopadhyay, Harold Swerdlow, Rahul Satija, Peter Smibert. Nat Methods 2017
739
50

Chromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatin.
Sai Ma, Bing Zhang, Lindsay M LaFave, Andrew S Earl, Zachary Chiang, Yan Hu, Jiarui Ding, Alison Brack, Vinay K Kartha, Tristan Tay,[...]. Cell 2020
75
50

Integrative analyses of single-cell transcriptome and regulome using MAESTRO.
Chenfei Wang, Dongqing Sun, Xin Huang, Changxin Wan, Ziyi Li, Ya Han, Qian Qin, Jingyu Fan, Xintao Qiu, Yingtian Xie,[...]. Genome Biol 2020
27
37

Eleven grand challenges in single-cell data science.
David Lähnemann, Johannes Köster, Ewa Szczurek, Davis J McCarthy, Stephanie C Hicks, Mark D Robinson, Catalina A Vallejos, Kieran R Campbell, Niko Beerenwinkel, Ahmed Mahfouz,[...]. Genome Biol 2020
171
37

Multi-domain translation between single-cell imaging and sequencing data using autoencoders.
Karren Dai Yang, Anastasiya Belyaeva, Saradha Venkatachalapathy, Karthik Damodaran, Abigail Katcoff, Adityanarayanan Radhakrishnan, G V Shivashankar, Caroline Uhler. Nat Commun 2021
13
37

Single-cell multiomics: technologies and data analysis methods.
Jeongwoo Lee, Do Young Hyeon, Daehee Hwang. Exp Mol Med 2020
50
37

Single-cell RNA-seq denoising using a deep count autoencoder.
Gökcen Eraslan, Lukas M Simon, Maria Mircea, Nikola S Mueller, Fabian J Theis. Nat Commun 2019
189
37

Integrated analysis of multimodal single-cell data.
Yuhan Hao, Stephanie Hao, Erica Andersen-Nissen, William M Mauck, Shiwei Zheng, Andrew Butler, Maddie J Lee, Aaron J Wilk, Charlotte Darby, Michael Zager,[...]. Cell 2021
111
37

Integrating single-cell transcriptomic data across different conditions, technologies, and species.
Andrew Butler, Paul Hoffman, Peter Smibert, Efthymia Papalexi, Rahul Satija. Nat Biotechnol 2018
37

Single-Cell Multi-omic Integration Compares and Contrasts Features of Brain Cell Identity.
Joshua D Welch, Velina Kozareva, Ashley Ferreira, Charles Vanderburg, Carly Martin, Evan Z Macosko. Cell 2019
242
37

Fast, sensitive and accurate integration of single-cell data with Harmony.
Ilya Korsunsky, Nghia Millard, Jean Fan, Kamil Slowikowski, Fan Zhang, Kevin Wei, Yuriy Baglaenko, Michael Brenner, Po-Ru Loh, Soumya Raychaudhuri. Nat Methods 2019
454
37

An ultra high-throughput method for single-cell joint analysis of open chromatin and transcriptome.
Chenxu Zhu, Miao Yu, Hui Huang, Ivan Juric, Armen Abnousi, Rong Hu, Jacinta Lucero, M Margarita Behrens, Ming Hu, Bing Ren. Nat Struct Mol Biol 2019
60
37

Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors.
Laleh Haghverdi, Aaron T L Lun, Michael D Morgan, John C Marioni. Nat Biotechnol 2018
511
37

Integrative single-cell analysis.
Tim Stuart, Rahul Satija. Nat Rev Genet 2019
354
25

Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizations.
Zhana Duren, Xi Chen, Mahdi Zamanighomi, Wanwen Zeng, Ansuman T Satpathy, Howard Y Chang, Yong Wang, Wing Hung Wong. Proc Natl Acad Sci U S A 2018
53
25

Integrative Methods and Practical Challenges for Single-Cell Multi-omics.
Anjun Ma, Adam McDermaid, Jennifer Xu, Yuzhou Chang, Qin Ma. Trends Biotechnol 2020
42
25

Joint single-cell DNA accessibility and protein epitope profiling reveals environmental regulation of epigenomic heterogeneity.
Xingqi Chen, Ulrike M Litzenburger, Yuning Wei, Alicia N Schep, Edward L LaGory, Hani Choudhry, Amato J Giaccia, William J Greenleaf, Howard Y Chang. Nat Commun 2018
26
25

SCANPY: large-scale single-cell gene expression data analysis.
F Alexander Wolf, Philipp Angerer, Fabian J Theis. Genome Biol 2018
812
25


Exploring single-cell data with deep multitasking neural networks.
Matthew Amodio, David van Dijk, Krishnan Srinivasan, William S Chen, Hussein Mohsen, Kevin R Moon, Allison Campbell, Yujiao Zhao, Xiaomei Wang, Manjunatha Venkataswamy,[...]. Nat Methods 2019
58
25

Unsupervised topological alignment for single-cell multi-omics integration.
Kai Cao, Xiangqi Bai, Yiguang Hong, Lin Wan. Bioinformatics 2020
14
25

Joint profiling of histone modifications and transcriptome in single cells from mouse brain.
Chenxu Zhu, Yanxiao Zhang, Yang Eric Li, Jacinta Lucero, M Margarita Behrens, Bing Ren. Nat Methods 2021
20
25

Single-cell proteomic and transcriptomic analysis of macrophage heterogeneity using SCoPE2.
Harrison Specht, Edward Emmott, Aleksandra A Petelski, R Gray Huffman, David H Perlman, Marco Serra, Peter Kharchenko, Antonius Koller, Nikolai Slavov. Genome Biol 2021
51
25

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
149
25

Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain.
Blue B Lake, Song Chen, Brandon C Sos, Jean Fan, Gwendolyn E Kaeser, Yun C Yung, Thu E Duong, Derek Gao, Jerold Chun, Peter V Kharchenko,[...]. Nat Biotechnol 2018
299
25

Jointly defining cell types from multiple single-cell datasets using LIGER.
Jialin Liu, Chao Gao, Joshua Sodicoff, Velina Kozareva, Evan Z Macosko, Joshua D Welch. Nat Protoc 2020
13
25

Scalable, multimodal profiling of chromatin accessibility, gene expression and protein levels in single cells.
Eleni P Mimitou, Caleb A Lareau, Kelvin Y Chen, Andre L Zorzetto-Fernandes, Yuhan Hao, Yusuke Takeshima, Wendy Luo, Tse-Shun Huang, Bertrand Z Yeung, Efthymia Papalexi,[...]. Nat Biotechnol 2021
20
25

SCIM: universal single-cell matching with unpaired feature sets.
Stefan G Stark, Joanna Ficek, Francesco Locatello, Ximena Bonilla, Stéphane Chevrier, Franziska Singer, Gunnar Rätsch, Kjong-Van Lehmann. Bioinformatics 2020
3
66

ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis.
Jeffrey M Granja, M Ryan Corces, Sarah E Pierce, S Tansu Bagdatli, Hani Choudhry, Howard Y Chang, William J Greenleaf. Nat Genet 2021
39
25

Single-cell multiomic analysis identifies regulatory programs in mixed-phenotype acute leukemia.
Jeffrey M Granja, Sandy Klemm, Lisa M McGinnis, Arwa S Kathiria, Anja Mezger, M Ryan Corces, Benjamin Parks, Eric Gars, Michaela Liedtke, Grace X Y Zheng,[...]. Nat Biotechnol 2019
79
25

Joint analysis of heterogeneous single-cell RNA-seq dataset collections.
Nikolas Barkas, Viktor Petukhov, Daria Nikolaeva, Yaroslav Lozinsky, Samuel Demharter, Konstantin Khodosevich, Peter V Kharchenko. Nat Methods 2019
74
25

Simultaneous trimodal single-cell measurement of transcripts, epitopes, and chromatin accessibility using TEA-seq.
Elliott Swanson, Cara Lord, Julian Reading, Alexander T Heubeck, Palak C Genge, Zachary Thomson, Morgan DA Weiss, Xiao-Jun Li, Adam K Savage, Richard R Green,[...]. Elife 2021
17
25

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
39
25

Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes.
Åsa Segerstolpe, Athanasia Palasantza, Pernilla Eliasson, Eva-Marie Andersson, Anne-Christine Andréasson, Xiaoyan Sun, Simone Picelli, Alan Sabirsh, Maryam Clausen, Magnus K Bjursell,[...]. Cell Metab 2016
564
25

A joint deep learning model enables simultaneous batch effect correction, denoising, and clustering in single-cell transcriptomics.
Justin Lakkis, David Wang, Yuanchao Zhang, Gang Hu, Kui Wang, Huize Pan, Lyle Ungar, Muredach P Reilly, Xiangjie Li, Mingyao Li. Genome Res 2021
4
50

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
421
25

Single-cell transcriptomes identify human islet cell signatures and reveal cell-type-specific expression changes in type 2 diabetes.
Nathan Lawlor, Joshy George, Mohan Bolisetty, Romy Kursawe, Lili Sun, V Sivakamasundari, Ina Kycia, Paul Robson, Michael L Stitzel. Genome Res 2017
170
25

Probabilistic harmonization and annotation of single-cell transcriptomics data with deep generative models.
Chenling Xu, Romain Lopez, Edouard Mehlman, Jeffrey Regier, Michael I Jordan, Nir Yosef. Mol Syst Biol 2021
15
25

A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure.
Maayan Baron, Adrian Veres, Samuel L Wolock, Aubrey L Faust, Renaud Gaujoux, Amedeo Vetere, Jennifer Hyoje Ryu, Bridget K Wagner, Shai S Shen-Orr, Allon M Klein,[...]. Cell Syst 2016
421
25

DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data.
Cédric Arisdakessian, Olivier Poirion, Breck Yunits, Xun Zhu, Lana X Garmire. Genome Biol 2019
52
25


Massively parallel digital transcriptional profiling of single cells.
Grace X Y Zheng, Jessica M Terry, Phillip Belgrader, Paul Ryvkin, Zachary W Bent, Ryan Wilson, Solongo B Ziraldo, Tobias D Wheeler, Geoff P McDermott, Junjie Zhu,[...]. Nat Commun 2017
25

DIMM-SC: a Dirichlet mixture model for clustering droplet-based single cell transcriptomic data.
Zhe Sun, Ting Wang, Ke Deng, Xiao-Feng Wang, Robert Lafyatis, Ying Ding, Ming Hu, Wei Chen. Bioinformatics 2018
19
25

Joint probabilistic modeling of single-cell multi-omic data with totalVI.
Adam Gayoso, Zoë Steier, Romain Lopez, Jeffrey Regier, Kristopher L Nazor, Aaron Streets, Nir Yosef. Nat Methods 2021
16
25




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.