A citation-based method for searching scientific literature

Vladimir Yu Kiselev, Andrew Yiu, Martin Hemberg. Nat Methods 2018
Times Cited: 179



Jose Alquicira-Hernandez, Anuja Sathe, Hanlee P Ji, Quan Nguyen, Joseph E Powell. Genome Biol 2019
Times Cited: 37




List of shared articles



Times cited

Computational methods for the integrative analysis of single-cell data.
Mattia Forcato, Oriana Romano, Silvio Bicciato. Brief Bioinform 2021
12

Computational Stem Cell Biology: Open Questions and Guiding Principles.
Patrick Cahan, Davide Cacchiarelli, Sara-Jane Dunn, Martin Hemberg, Susana M Chuva de Sousa Lopes, Samantha A Morris, Owen J L Rackham, Antonio Del Sol, Christine A Wells. Cell Stem Cell 2021
3

Automated methods for cell type annotation on scRNA-seq data.
Giovanni Pasquini, Jesus Eduardo Rojo Arias, Patrick Schäfer, Volker Busskamp. Comput Struct Biotechnol J 2021
4


User-friendly, scalable tools and workflows for single-cell RNA-seq analysis.
Pablo Moreno, Ni Huang, Jonathan R Manning, Suhaib Mohammed, Andrey Solovyev, Krzysztof Polanski, Wendi Bacon, Ruben Chazarra, Carlos Talavera-López, Maria A Doyle,[...]. Nat Methods 2021
3

Critical downstream analysis steps for single-cell RNA sequencing data.
Zilong Zhang, Feifei Cui, Chen Lin, Lingling Zhao, Chunyu Wang, Quan Zou. Brief Bioinform 2021
0

Enhancement and Imputation of Peak Signal Enables Accurate Cell-Type Classification in scATAC-seq.
Zhe Cui, Ya Cui, Yan Gao, Tao Jiang, Tianyi Zang, Yadong Wang. Front Genet 2021
0

Gene signature extraction and cell identity recognition at the single-cell level with Cell-ID.
Akira Cortal, Loredana Martignetti, Emmanuelle Six, Antonio Rausell. Nat Biotechnol 2021
1

Hierarchical progressive learning of cell identities in single-cell data.
Lieke Michielsen, Marcel J T Reinders, Ahmed Mahfouz. Nat Commun 2021
2

Taming Cell-to-Cell Heterogeneity in Acute Myeloid Leukaemia With Machine Learning.
Yara E Sánchez-Corrales, Ruben V C Pohle, Sergi Castellano, Alice Giustacchini. Front Oncol 2021
0

Single-cell classification using graph convolutional networks.
Tianyu Wang, Jun Bai, Sheida Nabavi. BMC Bioinformatics 2021
0

RCA2: a scalable supervised clustering algorithm that reduces batch effects in scRNA-seq data.
Florian Schmidt, Bobby Ranjan, Quy Xiao Xuan Lin, Vaidehi Krishnan, Ignasius Joanito, Mohammad Amin Honardoost, Zahid Nawaz, Prasanna Nori Venkatesh, Joanna Tan, Nirmala Arul Rayan,[...]. Nucleic Acids Res 2021
0

scDeepSort: a pre-trained cell-type annotation method for single-cell transcriptomics using deep learning with a weighted graph neural network.
Xin Shao, Haihong Yang, Xiang Zhuang, Jie Liao, Penghui Yang, Junyun Cheng, Xiaoyan Lu, Huajun Chen, Xiaohui Fan. Nucleic Acids Res 2021
0


Efficient and precise single-cell reference atlas mapping with Symphony.
Joyce B Kang, Aparna Nathan, Kathryn Weinand, Fan Zhang, Nghia Millard, Laurie Rumker, D Branch Moody, Ilya Korsunsky, Soumya Raychaudhuri. Nat Commun 2021
0


CIPR: a web-based R/shiny app and R package to annotate cell clusters in single cell RNA sequencing experiments.
H Atakan Ekiz, Christopher J Conley, W Zac Stephens, Ryan M O'Connell. BMC Bioinformatics 2020
9

scClassify: sample size estimation and multiscale classification of cells using single and multiple reference.
Yingxin Lin, Yue Cao, Hani Jieun Kim, Agus Salim, Terence P Speed, David M Lin, Pengyi Yang, Jean Yee Hwa Yang. Mol Syst Biol 2020
5