A citation-based method for searching scientific literature

Zhe Wang, Junming Hu, W Evan Johnson, Joshua D Campbell. BMC Bioinformatics 2019
Times Cited: 7







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



Times Cited
  Times     Co-cited
Similarity


edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.
Mark D Robinson, Davis J McCarthy, Gordon K Smyth. Bioinformatics 2010
57

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
42

Pooling across cells to normalize single-cell RNA sequencing data with many zero counts.
Aaron T L Lun, Karsten Bach, John C Marioni. Genome Biol 2016
373
28

SCANPY: large-scale single-cell gene expression data analysis.
F Alexander Wolf, Philipp Angerer, Fabian J Theis. Genome Biol 2018
720
28

scPipe: A flexible R/Bioconductor preprocessing pipeline for single-cell RNA-sequencing data.
Luyi Tian, Shian Su, Xueyi Dong, Daniela Amann-Zalcenstein, Christine Biben, Azadeh Seidi, Douglas J Hilton, Shalin H Naik, Matthew E Ritchie. PLoS Comput Biol 2018
33
28

Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning.
Bo Wang, Junjie Zhu, Emma Pierson, Daniele Ramazzotti, Serafim Batzoglou. Nat Methods 2017
199
28

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
28

Classification of low quality cells from single-cell RNA-seq data.
Tomislav Ilicic, Jong Kyoung Kim, Aleksandra A Kolodziejczyk, Frederik Otzen Bagger, Davis James McCarthy, John C Marioni, Sarah A Teichmann. Genome Biol 2016
223
28

The technology and biology of single-cell RNA sequencing.
Aleksandra A Kolodziejczyk, Jong Kyoung Kim, Valentine Svensson, John C Marioni, Sarah A Teichmann. Mol Cell 2015
451
28


scmap: projection of single-cell RNA-seq data across data sets.
Vladimir Yu Kiselev, Andrew Yiu, Martin Hemberg. Nat Methods 2018
179
28

Comparative analysis of differential gene expression analysis tools for single-cell RNA sequencing data.
Tianyu Wang, Boyang Li, Craig E Nelson, Sheida Nabavi. BMC Bioinformatics 2019
61
28

Integrating single-cell transcriptomic data across different conditions, technologies, and species.
Andrew Butler, Paul Hoffman, Peter Smibert, Efthymia Papalexi, Rahul Satija. Nat Biotechnol 2018
28

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
462
28

The single-cell transcriptional landscape of mammalian organogenesis.
Junyue Cao, Malte Spielmann, Xiaojie Qiu, Xingfan Huang, Daniel M Ibrahim, Andrew J Hill, Fan Zhang, Stefan Mundlos, Lena Christiansen, Frank J Steemers,[...]. Nature 2019
444
28

Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer.
Woosung Chung, Hye Hyeon Eum, Hae-Ock Lee, Kyung-Min Lee, Han-Byoel Lee, Kyu-Tae Kim, Han Suk Ryu, Sangmin Kim, Jeong Eon Lee, Yeon Hee Park,[...]. Nat Commun 2017
337
28

CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq.
Tamar Hashimshony, Naftalie Senderovich, Gal Avital, Agnes Klochendler, Yaron de Leeuw, Leon Anavy, Dave Gennert, Shuqiang Li, Kenneth J Livak, Orit Rozenblatt-Rosen,[...]. Genome Biol 2016
416
28

The single-cell sequencing: new developments and medical applications.
Xiaoning Tang, Yongmei Huang, Jinli Lei, Hui Luo, Xiao Zhu. Cell Biosci 2019
58
28


Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets.
Evan Z Macosko, Anindita Basu, Rahul Satija, James Nemesh, Karthik Shekhar, Melissa Goldman, Itay Tirosh, Allison R Bialas, Nolan Kamitaki, Emily M Martersteck,[...]. Cell 2015
28

Smart-seq2 for sensitive full-length transcriptome profiling in single cells.
Simone Picelli, Åsa K Björklund, Omid R Faridani, Sven Sagasser, Gösta Winberg, Rickard Sandberg. Nat Methods 2013
996
28

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
28

STAR: ultrafast universal RNA-seq aligner.
Alexander Dobin, Carrie A Davis, Felix Schlesinger, Jorg Drenkow, Chris Zaleski, Sonali Jha, Philippe Batut, Mark Chaisson, Thomas R Gingeras. Bioinformatics 2013
28

Single-cell RNA-seq highlights intra-tumoral heterogeneity and malignant progression in pancreatic ductal adenocarcinoma.
Junya Peng, Bao-Fa Sun, Chuan-Yuan Chen, Jia-Yi Zhou, Yu-Sheng Chen, Hao Chen, Lulu Liu, Dan Huang, Jialin Jiang, Guan-Shen Cui,[...]. Cell Res 2019
155
28

Detection and removal of barcode swapping in single-cell RNA-seq data.
Jonathan A Griffiths, Arianne C Richard, Karsten Bach, Aaron T L Lun, John C Marioni. Nat Commun 2018
63
14

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
673
14

Beyond comparisons of means: understanding changes in gene expression at the single-cell level.
Catalina A Vallejos, Sylvia Richardson, John C Marioni. Genome Biol 2016
51
14

scMerge leverages factor analysis, stable expression, and pseudoreplication to merge multiple single-cell RNA-seq datasets.
Yingxin Lin, Shila Ghazanfar, Kevin Y X Wang, Johann A Gagnon-Bartsch, Kitty K Lo, Xianbin Su, Ze-Guang Han, John T Ormerod, Terence P Speed, Pengyi Yang,[...]. Proc Natl Acad Sci U S A 2019
40
14

Challenges in unsupervised clustering of single-cell RNA-seq data.
Vladimir Yu Kiselev, Tallulah S Andrews, Martin Hemberg. Nat Rev Genet 2019
215
14

clusterExperiment and RSEC: A Bioconductor package and framework for clustering of single-cell and other large gene expression datasets.
Davide Risso, Liam Purvis, Russell B Fletcher, Diya Das, John Ngai, Sandrine Dudoit, Elizabeth Purdom. PLoS Comput Biol 2018
18
14

Separation and parallel sequencing of the genomes and transcriptomes of single cells using G&T-seq.
Iain C Macaulay, Mabel J Teng, Wilfried Haerty, Parveen Kumar, Chris P Ponting, Thierry Voet. Nat Protoc 2016
67
14

Bayesian approach to single-cell differential expression analysis.
Peter V Kharchenko, Lev Silberstein, David T Scadden. Nat Methods 2014
543
14

Unravelling subclonal heterogeneity and aggressive disease states in TNBC through single-cell RNA-seq.
Mihriban Karaayvaz, Simona Cristea, Shawn M Gillespie, Anoop P Patel, Ravindra Mylvaganam, Christina C Luo, Michelle C Specht, Bradley E Bernstein, Franziska Michor, Leif W Ellisen. Nat Commun 2018
128
14

Species identity of insect cell lines.
A E Greene, J Charney, W W Nichols, L L Coriell. In Vitro 1972
151
14

Brain structure. Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq.
Amit Zeisel, Ana B Muñoz-Manchado, Simone Codeluppi, Peter Lönnerberg, Gioele La Manno, Anna Juréus, Sueli Marques, Hermany Munguba, Liqun He, Christer Betsholtz,[...]. Science 2015
14


The Human Cell Atlas: from vision to reality.
Orit Rozenblatt-Rosen, Michael J T Stubbington, Aviv Regev, Sarah A Teichmann. Nature 2017
210
14

False signals induced by single-cell imputation.
Tallulah S Andrews, Martin Hemberg. F1000Res 2018
43
14

Software for computing and annotating genomic ranges.
Michael Lawrence, Wolfgang Huber, Hervé Pagès, Patrick Aboyoun, Marc Carlson, Robert Gentleman, Martin T Morgan, Vincent J Carey. PLoS Comput Biol 2013
14

MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data.
Greg Finak, Andrew McDavid, Masanao Yajima, Jingyuan Deng, Vivian Gersuk, Alex K Shalek, Chloe K Slichter, Hannah W Miller, M Juliana McElrath, Martin Prlic,[...]. Genome Biol 2015
613
14

RNA Sequencing and Analysis.
Kimberly R Kukurba, Stephen B Montgomery. Cold Spring Harb Protoc 2015
199
14

Alevin efficiently estimates accurate gene abundances from dscRNA-seq data.
Avi Srivastava, Laraib Malik, Tom Smith, Ian Sudbery, Rob Patro. Genome Biol 2019
47
14

Multiplexed quantification of proteins and transcripts in single cells.
Vanessa M Peterson, Kelvin Xi Zhang, Namit Kumar, Jerelyn Wong, Lixia Li, Douglas C Wilson, Renee Moore, Terrill K McClanahan, Svetlana Sadekova, Joel A Klappenbach. Nat Biotechnol 2017
293
14

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.
Aravind Subramanian, Pablo Tamayo, Vamsi K Mootha, Sayan Mukherjee, Benjamin L Ebert, Michael A Gillette, Amanda Paulovich, Scott L Pomeroy, Todd R Golub, Eric S Lander,[...]. Proc Natl Acad Sci U S A 2005
14

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
14

Abseq: Ultrahigh-throughput single cell protein profiling with droplet microfluidic barcoding.
Payam Shahi, Samuel C Kim, John R Haliburton, Zev J Gartner, Adam R Abate. Sci Rep 2017
110
14

Computational methods for trajectory inference from single-cell transcriptomics.
Robrecht Cannoodt, Wouter Saelens, Yvan Saeys. Eur J Immunol 2016
69
14

Single-Cell Transcriptomic Analysis of Tumor Heterogeneity.
Hanna Mendes Levitin, Jinzhou Yuan, Peter A Sims. Trends Cancer 2018
52
14

From Louvain to Leiden: guaranteeing well-connected communities.
V A Traag, L Waltman, N J van Eck. Sci Rep 2019
259
14

Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R.
Davis J McCarthy, Kieran R Campbell, Aaron T L Lun, Quin F Wills. Bioinformatics 2017
397
14


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.