A citation-based method for searching scientific literature

Jian Hu, Xiangjie Li, Gang Hu, Yafei Lyu, Katalin Susztak, Mingyao Li. Nat Mach Intell 2020
Times Cited: 9







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



Times Cited
  Times     Co-cited
Similarity


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
88

scmap: projection of single-cell RNA-seq data across data sets.
Vladimir Yu Kiselev, Andrew Yiu, Martin Hemberg. Nat Methods 2018
191
66

Challenges in unsupervised clustering of single-cell RNA-seq data.
Vladimir Yu Kiselev, Tallulah S Andrews, Martin Hemberg. Nat Rev Genet 2019
234
55

SC3: consensus clustering of single-cell RNA-seq data.
Vladimir Yu Kiselev, Kristina Kirschner, Michael T Schaub, Tallulah Andrews, Andrew Yiu, Tamir Chandra, Kedar N Natarajan, Wolf Reik, Mauricio Barahona, Anthony R Green,[...]. Nat Methods 2017
482
44

Supervised classification enables rapid annotation of cell atlases.
Hannah A Pliner, Jay Shendure, Cole Trapnell. Nat Methods 2019
101
44

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
44

Deep generative modeling for single-cell transcriptomics.
Romain Lopez, Jeffrey Regier, Michael B Cole, Michael I Jordan, Nir Yosef. Nat Methods 2018
252
44


Spatial reconstruction of single-cell gene expression data.
Rahul Satija, Jeffrey A Farrell, David Gennert, Alexander F Schier, Aviv Regev. Nat Biotechnol 2015
33

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
33

A comparison of automatic cell identification methods for single-cell RNA sequencing data.
Tamim Abdelaal, Lieke Michielsen, Davy Cats, Dylan Hoogduin, Hailiang Mei, Marcel J T Reinders, Ahmed Mahfouz. Genome Biol 2019
105
33

Integrating single-cell transcriptomic data across different conditions, technologies, and species.
Andrew Butler, Paul Hoffman, Peter Smibert, Efthymia Papalexi, Rahul Satija. Nat Biotechnol 2018
33

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
33

Efficient integration of heterogeneous single-cell transcriptomes using Scanorama.
Brian Hie, Bryan Bryson, Bonnie Berger. Nat Biotechnol 2019
139
33

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
33

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
33

MARS: discovering novel cell types across heterogeneous single-cell experiments.
Maria Brbić, Marinka Zitnik, Sheng Wang, Angela O Pisco, Russ B Altman, Spyros Darmanis, Jure Leskovec. Nat Methods 2020
21
33

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
22

Systematic comparison of single-cell and single-nucleus RNA-sequencing methods.
Jiarui Ding, Xian Adiconis, Sean K Simmons, Monika S Kowalczyk, Cynthia C Hession, Nemanja D Marjanovic, Travis K Hughes, Marc H Wadsworth, Tyler Burks, Lan T Nguyen,[...]. Nat Biotechnol 2020
145
22

A Single-Cell Transcriptome Atlas of the Human Pancreas.
Mauro J Muraro, Gitanjali Dharmadhikari, Dominic Grün, Nathalie Groen, Tim Dielen, Erik Jansen, Leon van Gurp, Marten A Engelse, Francoise Carlotti, Eelco J P de Koning,[...]. Cell Syst 2016
397
22

Single-Cell RNA-Seq Reveals Hypothalamic Cell Diversity.
Renchao Chen, Xiaoji Wu, Lan Jiang, Yi Zhang. Cell Rep 2017
206
22

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
22

Deep soft K-means clustering with self-training for single-cell RNA sequence data.
Liang Chen, Weinan Wang, Yuyao Zhai, Minghua Deng. NAR Genom Bioinform 2020
6
33


Benchmarking single-cell RNA-sequencing protocols for cell atlas projects.
Elisabetta Mereu, Atefeh Lafzi, Catia Moutinho, Christoph Ziegenhain, Davis J McCarthy, Adrián Álvarez-Varela, Eduard Batlle, Sagar, Dominic Grün, Julia K Lau,[...]. Nat Biotechnol 2020
87
22

Splatter: simulation of single-cell RNA sequencing data.
Luke Zappia, Belinda Phipson, Alicia Oshlack. Genome Biol 2017
202
22

Integrating Deep Supervised, Self-Supervised and Unsupervised Learning for Single-Cell RNA-seq Clustering and Annotation.
Liang Chen, Yuyao Zhai, Qiuyan He, Weinan Wang, Minghua Deng. Genes (Basel) 2020
6
33

SCALE method for single-cell ATAC-seq analysis via latent feature extraction.
Lei Xiong, Kui Xu, Kang Tian, Yanqiu Shao, Lei Tang, Ge Gao, Michael Zhang, Tao Jiang, Qiangfeng Cliff Zhang. Nat Commun 2019
41
22


Molecular, spatial, and functional single-cell profiling of the hypothalamic preoptic region.
Jeffrey R Moffitt, Dhananjay Bambah-Mukku, Stephen W Eichhorn, Eric Vaughn, Karthik Shekhar, Julio D Perez, Nimrod D Rubinstein, Junjie Hao, Aviv Regev, Catherine Dulac,[...]. Science 2018
289
22

Transcriptome-scale super-resolved imaging in tissues by RNA seqFISH.
Chee-Huat Linus Eng, Michael Lawson, Qian Zhu, Ruben Dries, Noushin Koulena, Yodai Takei, Jina Yun, Christopher Cronin, Christoph Karp, Guo-Cheng Yuan,[...]. Nature 2019
370
22

Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution.
Samuel G Rodriques, Robert R Stickels, Aleksandrina Goeva, Carly A Martin, Evan Murray, Charles R Vanderburg, Joshua Welch, Linlin M Chen, Fei Chen, Evan Z Macosko. Science 2019
440
22

clusterProfiler: an R package for comparing biological themes among gene clusters.
Guangchuang Yu, Li-Gen Wang, Yanyan Han, Qing-Yu He. OMICS 2012
22

BBKNN: fast batch alignment of single cell transcriptomes.
Krzysztof Polański, Matthew D Young, Zhichao Miao, Kerstin B Meyer, Sarah A Teichmann, Jong-Eun Park. Bioinformatics 2020
115
22

Dimensionality reduction for visualizing single-cell data using UMAP.
Etienne Becht, Leland McInnes, John Healy, Charles-Antoine Dutertre, Immanuel W H Kwok, Lai Guan Ng, Florent Ginhoux, Evan W Newell. Nat Biotechnol 2018
918
22

Missing data and technical variability in single-cell RNA-sequencing experiments.
Stephanie C Hicks, F William Townes, Mingxiang Teng, Rafael A Irizarry. Biostatistics 2018
149
22

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
22

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
22

scNMT-seq enables joint profiling of chromatin accessibility DNA methylation and transcription in single cells.
Stephen J Clark, Ricard Argelaguet, Chantriolnt-Andreas Kapourani, Thomas M Stubbs, Heather J Lee, Celia Alda-Catalinas, Felix Krueger, Guido Sanguinetti, Gavin Kelsey, John C Marioni,[...]. Nat Commun 2018
216
22

MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data.
Ricard Argelaguet, Damien Arnol, Danila Bredikhin, Yonatan Deloro, Britta Velten, John C Marioni, Oliver Stegle. Genome Biol 2020
47
22


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
22


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
73
22

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
22

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
22

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
46
22


A systematic evaluation of single-cell RNA-sequencing imputation methods.
Wenpin Hou, Zhicheng Ji, Hongkai Ji, Stephanie C Hicks. Genome Biol 2020
22
22

RNA Sequencing of Single Human Islet Cells Reveals Type 2 Diabetes Genes.
Yurong Xin, Jinrang Kim, Haruka Okamoto, Min Ni, Yi Wei, Christina Adler, Andrew J Murphy, George D Yancopoulos, Calvin Lin, Jesper Gromada. Cell Metab 2016
224
22


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.