Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells

Cited by (1,000)

Items 601–700 of 1,000

1. A New Binary Biclustering Algorithm Based on Weight Adjacency Difference Matrix for Analyzing Gene Expression Data
   He-Ming Chu, Xiang-Zhen Kong, Jin‐Xing Liu, Chun-Hou Zheng, Han Zhang · 2023 · IEEE Transactions on Computational Biology and Bioinformatics
2. Evaluation of zero counts to better understand the discrepancies between bulk and single-cell RNA-Seq platforms
   Joanna Żyła, Anna Papież, Jun Zhao, Rihao Qu, Xiaotong Li, Yuval Kluger, Joanna Polańska, Christos Hatzis, Lajos Pusztai, Michał Marczyk · 2023 · Computational and Structural Biotechnology Journal
3. Status and Potential of Single‐Cell Transcriptomics for Understanding Plant Development and Functional Biology
   Muhammad Munir Iqbal, Bhavna Hurgobin, Andrea Lisa Holme, R. Appels, Parwinder Kaur · 2020 · Cytometry Part A
4. Determination of elemental distribution and evaluation of elemental concentration in single Saccharomyces cerevisiae cells using single cell-inductively coupled plasma mass spectrometry
   Wen Qin, Hans‐Joachim Stärk, Susann Müller, Thorsten Reemtsma, Stephan Wagner · 2021 · Metallomics
5. Unified K-means coupled self-representation and neighborhood kernel learning for clustering single-cell RNA-sequencing data
   Zheng Li, Chang Tang, Xiao Zheng, Zhenglai Li, Wei Zhang, Lijuan Cao · 2022 · Neurocomputing
6. Integrating temporal single-cell gene expression modalities for trajectory inference and disease prediction
   Jolene S. Ranek, Natalie Stanley, Jeremy E. Purvis · 2022 · Genome biology
7. SCDD: a novel single-cell RNA-seq imputation method with diffusion and denoising
   Jian Liu, Yichen Pan, Zhihan Ruan, Jun Guo · 2022 · Briefings in Bioinformatics
8. Model-based unsupervised learning informs metformin-induced cell-migration inhibition through an AMPK-independent mechanism in breast cancer
   Arjun P. Athreya, Krishna R. Kalari, Junmei Cairns, Alan J. Gaglio, Quin F. Wills, Nifang Niu, Richard M. Weinshilboum, Ravishankar K. Iyer, Liewei Wang · 2017 · Oncotarget
9. Extraction of Hemocytes from Drosophila melanogaster Larvae for Microbial Infection and Analysis
   Aoi Hiroyasu, David C. DeWitt, Alan G. Goodman · 2018 · Journal of Visualized Experiments
10. scOrange—a tool for hands-on training of concepts from single-cell data analytics
    Martin Stražar, Lan Žagar, Jaka Kokošar, Vesna Tanko, Aleš Erjavec, Pavlin G. Poličar, Anže Starič, Janez Demšar, Gad Shaulsky, Vilas Menon et al. · 2019 · Bioinformatics
11. Biophysical informatics approach for quantifying phenotypic heterogeneity in cancer cell migration in confined microenvironments
    Xingjian Zhang, Michael Mak · 2021 · Bioinformatics
12. Clustering Single-Cell RNA-Seq Data with Regularized Gaussian Graphical Model
    Zhenqiu Liu · 2021 · Genes
13. Robustness of a model microbial community emerges from population structure among single cells of a clonal population
    Anne Thompson, Serdar Turkarslan, Christina E. Arens, Adrián López García de Lomana, Arjun V. Raman, David A. Stahl, Nitin S. Baliga · 2017 · Environmental Microbiology
14. Exploring the Extent of Phosphorus and Heavy Metal Uptake by Single Cells of Saccharomyces cerevisiae and Their Effects on Intrinsic Elements by SC-ICP-TOF-MS
    Wen Qin, Hans‐Joachim Stärk, Susann Müller, Thorsten Reemtsma · 2022 · Frontiers in Microbiology
15. CBLRR: a cauchy-based bounded constraint low-rank representation method to cluster single-cell RNA-seq data
    Qian Ding, Wenyi Yang, Meng Luo, Chang Xu, Zhaochun Xu, Fenglan Pang, Yideng Cai, Anastasia A. Anashkina, Xi Su, Na Chen et al. · 2022 · Briefings in Bioinformatics
16. Deciphering Hierarchical Chromatin Domains and Preference of Genomic Position Forming Boundaries in Single Mouse Embryonic Stem Cells
    Yusen Ye, Shihua Zhang, Lin Gao, Yuqing Zhu, Jin Zhang · 2023 · Advanced Science
17. scSID: A lightweight algorithm for identifying rare cell types by capturing differential expression from single-cell sequencing data
    Shudong Wang, Hengxiao Li, Kuijie Zhang, Hao Wu, Shanchen Pang, Wenhao Wu, Lan Ye, Jionglong Su, Yulin Zhang · 2024 · Computational and Structural Biotechnology Journal
18. A systematic review of single-cell RNA sequencing applications and innovations
    Fahamidur Rahaman Rafi, Nafeya Rahman Heya, Md Sadman Hafiz, Jamin Rahman Jim, Md. Mohsin Kabir, M. F. Mridha · 2025 · Computational Biology and Chemistry
19. Bioluminescence Microscopy as a Method to Measure Single Cell Androgen Receptor Activity Heterogeneous Responses to Antiandrogens
    Pallavi Jain, Bertrand Neveu, Lauriane Vélot, Lily Wu, Yves Fradet, Frédéric Pouliot · 2016 · Scientific Reports
20. TCM visualizes trajectories and cell populations from single cell data
    Wuming Gong, Il‐Youp Kwak, Naoko Koyano‐Nakagawa, Wei Pan, Daniel J. Garry · 2018 · Nature Communications
21. Consensus-based clustering of single cells by reconstructing cell-to-cell dissimilarity
    Chunxiang Wang, Zengchao Mu, Chaozhou Mou, Hongyu Zheng, Juntao Liu · 2021 · Briefings in Bioinformatics
22. Single-cell sequencing: A cutting edge tool in molecular medical research
    Pratibha Misra, Amruta R. Jadhav, Sharmila A. Bapat · 2022 · Medical Journal Armed Forces India
23. Single-Cell Transcriptome Analysis Revealed Heterogeneity of Fibroblast and Cellular Senescence in Aging Penile Corpus Cavernosum
    Qiwei Liu, Yulong Song, Yubin Cui, Cheng Hu, Yun Luo, Daoyuan Hu, Hua Wang, Ke Li, Jun Chen, Hengjun Xiao · 2021 · SSRN Electronic Journal
24. scSTAR reveals hidden heterogeneity with a real-virtual cell pair structure across conditions in single-cell RNA sequencing data
    Jie Hao, Jiawei Zou, Jiaqiang Zhang, Ke Chen, Duojiao Wu, Wei Cao, Guoguo Shang, Jean Yee Hwa Yang, KongFatt Wong‐Lin, Hourong Sun et al. · 2023 · Briefings in Bioinformatics
25. Decoding transcriptional enhancers: Evolving from annotation to functional interpretation
    Krysta L. Engel, Mark Mackiewicz, Andrew A. Hardigan, R Myers, Daniel Savic · 2016 · Seminars in Cell and Developmental Biology
26. Identifying Cell Subpopulations and Their Genetic Drivers from Single-Cell RNA-Seq Data Using a Biclustering Approach
    Funan Shi, Haiyan Huang · 2017 · Journal of Computational Biology
27. Single-Cell RNA Sequencing Data Interpretation by Evolutionary Multiobjective Clustering
    Xiangtao Li, Ka‐Chun Wong · 2019 · IEEE Transactions on Computational Biology and Bioinformatics
28. Characterizing and inferring quantitative cell cycle phase in single-cell RNA-seq data analysis
    Chiaowen Joyce Hsiao, Po‐Yuan Tung, John Blischak, Jonathan E. Burnett, Kenneth Barr, Kushal K. Dey, Matthew Stephens, Yoav Gilad · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
29. Transcriptome-Powered Pluripotent Stem Cell Differentiation for Regenerative Medicine
    Derek A. Ogi, Sha Jin · 2023 · Cells
30. Single-Cell Multiplexed Signal Amplification Strategy Based on Catalytic Hairpin Self-Assembly and CRISPR/Cas12a for Exploring the Relationship between lncRNA HOTAIR and miRNA-122 in Individual Hepatocytes
    Ruiyan Li, Yuhai Chen, Rongxiang Pan, Shengqiang Hu, Shulin Zhao, Jianniao Tian, Jingjin Zhao · 2024 · Analytical Chemistry
31. Causal disentanglement for single-cell representations and controllable counterfactual generation
    Yicheng Gao, Kejing Dong, Caihua Shan, Dongsheng Li, Qi Liu · 2025 · Nature Communications
32. Microfluidic single-cell array platform enabling week-scale clonal expansion under chemical/electrical stimuli
    Tao Luo, Jundi Hou, Shuxun Chen, Yu Ting Chow, Ran Wang, Dongce Ma, Rong Zhu, Dong Bai Sun · 2017 · Biomicrofluidics
33. Recent Machine Learning Approaches for Single-Cell RNA-seq Data Analysis
    Aristidis G. Vrahatis, Sotiris K. Tasoulis, Ilias G. Maglogiannis, Vassilis P. Plagianakos · 2020 · Studies in computational intelligence
34. GRACE: A Graph-Based Cluster Ensemble Approach for Single-Cell RNA-Seq Data Clustering
    Jihong Guan, Ruiyi Li, Jiasheng Wang · 2020 · IEEE Access
35. Identifying cell types from single-cell data based on similarities and dissimilarities between cells
    Yuanyuan Li, Ping Luo, Yi Lu, Fang‐Xiang Wu · 2021 · BMC Bioinformatics
36. A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis
    Zhongruo Wang, Bingyuan Liu, Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hongyu Zhao · 2021 · INFORMS Journal on Optimization
37. FACT maintains nucleosomes during transcription and stem cell viability in adult mice
    Imon Goswami, Poorva Sandlesh, Aimee B. Stablewski, Ilya Toshkov, Alfiya F. Safina, Mikhail D. Magnitov, Jianmin Wang, Katerina V. Gurova · 2022 · EMBO Reports
38. Single-cell transcriptome sequencing of macrophages in common cardiovascular diseases
    Lanfang Li, Qiuxiao Ma, Min Wang, Junyu Mou, Yanwei Han, Jialu Wang, Jingxue Ye, Guibo Sun · 2023 · Journal of Leukocyte Biology
39. scASGC: An adaptive simplified graph convolution model for clustering single-cell RNA-seq data
    Shudong Wang, Yunxin Zhang, Yulin Zhang, Wenhao Wu, Lan Ye, Yunyin Li, Jionglong Su, Shanchen Pang · 2023 · Computers in Biology and Medicine
40. Parallel single-cell analysis of active caspase-3/7 in apoptotic and non-apoptotic cells
    Vojtěch Ledvina, Eva Janečková, Eva Matalová, Karel Klepárnı́k · 2016 · Analytical and Bioanalytical Chemistry
41. B Lymphocytes Express Pomc mRNA, Processing Enzymes and β-Endorphin in Painful Inflammation
    Santhosh Chandar Maddila, Melanie Busch-Dienstfertig, Christoph Stein · 2016 · Journal of Neuroimmune Pharmacology
42. Human T cell immune surveillance: Phenotypic, functional and migratory heterogeneity for tailored immune responses
    Christina E. Zielinski · 2017 · Immunology Letters
43. Development of methods for detecting the fate of mesenchymal stem cells regulated by bone bioactive materials
    Le Jiang, Zhongqun Liu, Wang Zhaoyan, Yijun Su, Wang Yingjin, Yaojie Wei, Jiang Yanan, Zhanrong Jia, Chunyang Ma, Gang Fangli et al. · 2020 · Bioactive Materials
44. Multi-angle pulse shape detection of scattered light in flow cytometry for label-free cell cycle classification
    Daniel Kage, Kerstin Heinrich, Konrad von Volkmann, Jenny Kirsch, Kristen Feher, Claudia Giesecke‐Thiel, Toralf Kaiser · 2021 · Communications Biology
45. scIGANs: single-cell RNA-seq imputation using generative adversarial networks
    Yungang Xu, Zhigang Zhang, Lei You, Jiajia Liu, Zhiwei Fan, Xiaobo Zhou · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
46. Classifying cell cycle states and a quiescent-like G0 state using single-cell transcriptomics
    Samantha A. O’Connor, Leonor Garcia, Rori Hoover, Anoop P. Patel, Benjamin B. Bartelle, Jean‐Philippe Hugnot, Patrick J. Paddison, Christopher L. Plaisier · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
47. Mir 145/143: tumor suppressor, oncogenic microenvironmental factor or ...both?
    Mario Cioce, Sabrina Strano, Paola C. Muti, Giovanni Blandino · 2016 · Aging
48. scMMT: a multi-use deep learning approach for cell annotation, protein prediction and embedding in single-cell RNA-seq data
    Songqi Zhou, Yang Li, Wenyuan Wu, Li Li · 2024 · Briefings in Bioinformatics
49. Identification of an early cell fate regulator by detecting dynamics in transcriptional heterogeneity and co-regulation during astrocyte differentiation
    Tatsuya Ando, Ryuji Kato, Hiroyuki Honda · 2019 · npj Systems Biology and Applications
50. Identifying cell-to-cell variability in internalization using flow cytometry
    Alexander P. Browning, Niloufar Ansari, Christopher Drovandi, Angus P. R. Johnston, Matthew J. Simpson, Adrianne L. Jenner · 2022 · Journal of The Royal Society Interface
51. Improved downstream functional analysis of single-cell RNA-sequence data using DGAN
    Diksha Pandey, Onkara Perumal · 2023 · Scientific Reports
52. Learning Consistency and Specificity of Cells From Single-Cell Multi-Omic Data
    Haiyue Wang, Zaiyi Liu, Xiaoke Ma · 2024 · IEEE Journal of Biomedical and Health Informatics
53. Inference for dynamics of continuous variables: the extended Plefka expansion with hidden nodes
    Barbara Bravi, Peter Sollich A · 2017 · Journal of Statistical Mechanics Theory and Experiment
54. Single-Cell RNA Sequencing: A New Window into Cell Scale Dynamics
    Sabyasachi Dasgupta, Gary D. Bader, Sidhartha Goyal · 2018 · Biophysical Journal
55. Network inference performance complexity: a consequence of topological, experimental and algorithmic determinants
    Joseph J. Muldoon, Jessica S. Yu, Mohammad-Kasim H. Fassia, Neda Bagheri · 2019 · Bioinformatics
56. scLRTD : A Novel Low Rank Tensor Decomposition Method for Imputing Missing Values in Single-Cell Multi-Omics Sequencing Data
    Zhijie Ni, Xiaoying Zheng, Xiao Kun Zheng, Xiufen Zou · 2020 · IEEE Transactions on Computational Biology and Bioinformatics
57. SkewC: Identifying cells with skewed gene body coverage in single-cell RNA sequencing data
    Imad Abugessaisa, Akira Hasegawa, Shuhei Noguchi, Mélissa Cardon, Kazuhide Watanabe, Masataka Takahashi, Harukazu Suzuki, Shintaro Katayama, Juha Kere, Takeya Kasukawa · 2022 · iScience
58. iDESC: identifying differential expression in single-cell RNA sequencing data with multiple subjects
    Yunqing Liu, Jiayi Zhao, Taylor Sterling Adams, Ningya Wang, Jonas C. Schupp, Weimiao Wu, John E. McDonough, Geoffrey Lowell Chupp, Naftali Kaminski, Zuoheng Wang et al. · 2023 · BMC Bioinformatics
59. Learning cell-specific networks from dynamics and geometry of single cells
    Stephen Y. Zhang, Michael P. H. Stumpf · 2025 · Cell Systems
60. Bridging Histology and Bioinformatics—Computational Analysis of Spatially Resolved Transcriptomics
    Marco Mignardi, Omer Ishaq, Xiaoyan Qian, Carolina Wählby · 2016 · Proceedings of the IEEE
61. A sparse differential clustering algorithm for tracing cell type changes via single-cell RNA-sequencing data
    Martin Barron, Siyuan Zhang, Jun Li · 2017 · Nucleic Acids Research
62. Single-Cell Informatics for Tumor Microenvironment and Immunotherapy
    Jiabao Tian, Xinyu Bai, Camelia Y. J. Quek · 2024 · International Journal of Molecular Sciences
63. The effect of data transformation on low-dimensional integration of single-cell RNA-seq
    Youngjun Park, Anne-Christin Hauschild · 2024 · BMC Bioinformatics
64. Machine Learning Helps Identify New Drug Mechanisms in Triple-Negative Breast Cancer
    Arjun P. Athreya, Alan J. Gaglio, Junmei Cairns, Krishna R. Kalari, Richard M. Weinshilboum, Liewei Wang, Zbigniew Kalbarczyk, Ravishankar K. Iyer · 2018 · IEEE Transactions on NanoBioscience
65. Computational Cell Cycle Analysis of Single Cell RNA-Seq Data
    Marmar R. Moussa, Ion Măndoiu · 2021 · Lecture notes in computer science
66. A Clustering Ensemble Method for Cell Type Detection by Multiobjective Particle Optimization
    Qiaoming Liu, Xudong Zhao, Guohua Wang · 2021 · IEEE Transactions on Computational Biology and Bioinformatics
67. A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis
    He-Ming Chu, Jin‐Xing Liu, Ke Zhang, Chun-Hou Zheng, Juan Wang, Xiang-Zhen Kong · 2022 · BMC Bioinformatics
68. MTGDC: A Multi-Scale Tensor Graph Diffusion Clustering for Single-Cell RNA Sequencing Data
    Qiaoming Liu, Dong Wang, Li Zhou, Jie Li, Guohua Wang · 2023 · IEEE Transactions on Computational Biology and Bioinformatics
69. NLRRC: A Novel Clustering Method of Jointing Non-Negative LRR and Random Walk Graph Regularized NMF for Single-Cell Type Identification
    Juan Wang, Linping Wang, Shasha Yuan, Feng Li, Jin‐Xing Liu, Junliang Shang · 2023 · IEEE Journal of Biomedical and Health Informatics
70. AuPairWise: A Method to Estimate RNA-Seq Replicability through Co-expression
    Sara Ballouz, Jesse Gillis · 2016 · PLoS Computational Biology
71. Restricted maximum-likelihood method for learning latent variance components in gene expression data with known and unknown confounders
    Muhammad Ammar Malik, Tom Michoel · 2021 · G3 Genes Genomes Genetics
72. Untangling biological factors influencing trajectory inference from single cell data
    Mohammed Charrout, Marcel J. T. Reinders, Ahmed Essam Mahfouz · 2020 · NAR Genomics and Bioinformatics
73. scShapes: a statistical framework for identifying distribution shapes in single-cell RNA-sequencing data
    Malindrie Dharmaratne, Ameya S Kulkarni, Atefeh Taherian Fard, Jessica C. Mar · 2022 · GigaScience
74. Cell-to-Cell Transcript Variability: Seeing Signal in the Noise
    Kevin A. Janes · 2015 · Cell
75. Modeling heterogeneity in the pluripotent state: A promising strategy for improving the efficiency and fidelity of stem cell differentiation
    Vladimir Espinosa Angarica, Antonio del Sol · 2016 · BioEssays
76. Diverse activities of viralcis-acting RNA regulatory elements revealed using multicolor, long-term, single-cell imaging
    Ginger M. Pocock, Laraine L. Zimdars, Ming Yuan, Kevin W. Eliceiri, Paul Ahlquist, Nathan M. Sherer · 2016 · Molecular Biology of the Cell
77. Multipotent peripheral glial cells generate neuroendocrine cells of the adrenal medulla
    Alessandro Furlan, Vyacheslav A. Dyachuk, Maria Eleni Kastriti, Laura Calvo-Enrique, Hind Abdo, Saïda Hadjab, Tatiana Chontorotzea, Natalia Akkuratova, Dmitry Usoskin, Kamenev D et al. · 2018 · Yearbook of pediatric endocrinology
78. Detection of correlated hidden factors from single cell transcriptomes using Iteratively Adjusted-SVA (IA-SVA)
    Donghyung Lee, Anthony Youzhi Cheng, Nathan T Lawlor, Mohan T. Bolisetty, Duygu Ucar · 2018 · Scientific Reports
79. Stably expressed genes in single-cell RNA sequencing
    Julie M. Deeke, Johann A. Gagnon-Bartsch · 2020 · Journal of Bioinformatics and Computational Biology
80. Oligomeric amyloid beta prevents myelination in a clusterin-dependent manner
    Rebecca M. Beiter, Hannah E. Ennerfelt, Courtney R. Rivet-Noor, Andrea R. Merchak, Robin Bai, David M. Johanson, Erica R. Slogar, Katia Sol‐Church, Jennifer L. Phillips, Tim Bathe et al. · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
81. Neural G0: a quiescent-like state found in neuroepithelial-derived cells and glioma
    Heather M. Feldman, Chad M. Toledo, Sonali Arora, Pia Hoellerbauer, Philip D. Corrin, Lucas M. Carter, Megan Kufeld, Hamid Bolouri, Ryan Basom, Jeffrey J. Delrow et al. · 2018 · bioRxiv (Cold Spring Harbor Laboratory)
82. Discriminative Subtyping of Lung Cancers from Histopathology Images via Contextual Deep Learning
    Benjamin J. Lengerich, Maruan Al-Shedivat, Amir Alavi, Jennifer A. Williams, Sami Labbaki, Eric P. Xing · 2020 · medRxiv
83. Explainable t-SNE for single-cell RNA-seq data analysis
    Henry Han, Tianyu Zhang, Chun Li, Mary Lauren Benton, Juan Wang, Junyi Li · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
84. Batch-effect correction in single-cell RNA sequencing data using JIVE
    Joseph Hastings, Donghyung Lee, Michael J O’Connell · 2024 · Bioinformatics Advances
85. MuCST: restoring and integrating heterogeneous morphology images and spatial transcriptomics data with contrastive learning
    Yu Wang, Zaiyi Liu, Xiaoke Ma · 2025 · Genome Medicine
86. Single-Cell Patterning Based on Immunocapture and a Surface Modified Substrate
    Dilinuer Ayibaike, Mingyang Cui, Jiaqi Wei · 2018 · Applied Sciences
87. Zero-inflated quantile rank-score based test (ZIQRank) with application to scRNA-seq differential gene expression analysis
    Wodan Ling, Wenfei Zhang, Bin Cheng, Ying Wei · 2021 · The Annals of Applied Statistics
88. scBKAP: A Clustering Model for Single-Cell RNA-Seq Data Based on Bisecting K-Means
    Xiaolin Wang, Hongli Gao, Ren Qi, Ruiqing Zheng, Xin Gao, Bin Yu · 2022 · IEEE Transactions on Computational Biology and Bioinformatics
89. De-novoreconstruction and identification of transcriptional gene regulatory network modules differentiating single-cell clusters
    Mhaned Oubounyt, Maria L. Elkjaer, Tanja Laske, Alexander G. B. Grønning, Marcus Johannes Moeller, Jan Baumbach · 2023 · NAR Genomics and Bioinformatics
90. Single-cell proteo-genomic reveals a comprehensive map of centrosome-associated spliceosome components
    Luigi Cerulo, Nunziana Pezzella, Francesca Pia Caruso, Paola Parente, Andrea Remo, Guido Giordano, Nicola Rosario Forte, Johan Busselez, Federico Boschi, Mirco Galiè et al. · 2023 · iScience
91. Transcriptional dynamics of delaminating neuroblasts in the mouse otic vesicle
    Maggie S. Matern, Robert Durruthy-Durruthy, Onur Birol, Spyros Darmanis, Mirko Scheibinger, Andrew K. Groves, Stefan Heller · 2023 · Cell Reports
92. Neuronal Spike Shapes (NSS): A straightforward approach to investigate heterogeneity in neuronal excitability states
    Lorenzo Martini, Gianluca Amprimo, Stefano Di Carlo, Gabriella Olmo, Claudia Ferraris, Alessandro Savino, Roberta Bardini · 2023 · Computers in Biology and Medicine
93. Liver cancer from the perspective of single-cell sequencing: a review combined with bibliometric analysis
    Yanwei Ji, Qi An, Xinyu Wen, Zhou Xu, Zhengyuan Xia, Zhongyuan Xia, Qinyong Hu, Shaoqing Lei · 2024 · Journal of Cancer Research and Clinical Oncology
94. Functional Virtual Flow Cytometry: A Visual Analytic Approach for Characterizing Single-Cell Gene Expression Patterns
    Zhi Han, Travis S. Johnson, Jie Zhang, Xuan Zhang, Kun Huang · 2017 · BioMed Research International
95. Lessons from single-cell transcriptome analysis of oxygen-sensing cells
    Ting Zhou, Hiroaki Matsunami · 2017 · Cell and Tissue Research
96. Single-Cell RNA Sequencing of Oligodendrocyte Lineage Cells from the Mouse Central Nervous System
    Sueli Marques, David van Bruggen, Gonçalo Castelo‐Branco · 2019 · Methods in molecular biology
97. Root renovation: how an improved understanding of basic root biology could inform the development of elite crops that foster sustainable soil health
    Johanna W.‐H. Wong‐Bajracharya, Jonathan Michael Plett · 2019 · Functional Plant Biology
98. SINC: a scale-invariant deep-neural-network classifier for bulk and single-cell RNA-seq data
    Chuanqi Wang, Jun Li · 2019 · Bioinformatics
99. Comparison of whole blood and spleen transcriptional signatures over the course of an experimental malaria infection
    Carlos N. Talavera-López, Yaw Bediako, Jingwen Lin, John Joseph Valletta, Mario Recker, Jean Langhorne · 2019 · Scientific Reports
100. RIA: a novel Regression-based Imputation Approach for single-cell RNA sequencing
     Bang Tran, Duc Tran, Hung Nguyen, Nam S. Vo, Tin Nguyen · 2019 · International Conference on Knowledge and Systems Engineering/Proceedings