Integrative Analysis and Machine Learning based Characterization of Single Circulating Tumor Cells
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Debarka Sengupta | Tuan Zea Tan | Arvind Iyer | Naveen Ramalingam | Mohit Kumar Jolly | Kishore Hari | Burhanuddin Sabuwala | Balaram Vishnu Subramani | Jean Paul Thiery | Shreya Sharma | T. Tan | J. Thiery | A. Bhagat | N. Ramalingam | Jay A. West | Debarka Sengupta | M. Jolly | Y. Yap | Arvind Iyer | Krishan Gupta | Shreya Sharma | K. Hari | Y. Lee | N. Ramalingam | Burhanuddin Sabuwala | Yoon Sim Yap | Neevan Ramalingam | Krishan Gupta | Yi Fang Lee | Jay West | Ali Asgar Bhagat | Jay A. A. West
[1] Sridhar Ramaswamy,et al. Circulating Breast Tumor Cells Exhibit Dynamic Changes in Epithelial and Mesenchymal Composition , 2013, Science.
[2] V Kishore Ayyadevara,et al. Gradient Boosting Machine , 2018 .
[3] P. Kulesa,et al. Melanoma revives an embryonic migration program to promote plasticity and invasion , 2012, Pigment cell & melanoma research.
[4] R. Salgia,et al. Development of PD-1 and PD-L1 inhibitors as a form of cancer immunotherapy: a comprehensive review of registration trials and future considerations , 2018, Journal of Immunotherapy for Cancer.
[5] Thong M. Cao,et al. Circulating Tumor Cells: Diagnostic and Therapeutic Applications. , 2018, Annual review of biomedical engineering.
[6] Kyle W. Hukari,et al. Fluidic Logic Used in a Systems Approach to Enable Integrated Single-Cell Functional Analysis , 2016, Front. Bioeng. Biotechnol..
[7] Adam A. Margolin,et al. Assessing the clinical utility of cancer genomic and proteomic data across tumor types , 2014, Nature Biotechnology.
[8] A. Nobel,et al. Supervised risk predictor of breast cancer based on intrinsic subtypes. , 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[9] Irina Rish,et al. An empirical study of the naive Bayes classifier , 2001 .
[10] T. Seyfried,et al. On the origin of cancer metastasis. , 2013, Critical reviews in oncogenesis.
[11] F. Castro-Giner,et al. Circulating Tumor Cell Clustering Shapes DNA Methylation to Enable Metastasis Seeding , 2019, Cell.
[12] Feng Li,et al. CellMarker: a manually curated resource of cell markers in human and mouse , 2018, Nucleic Acids Res..
[13] Sridhar Ramaswamy,et al. RNA-Seq of single prostate CTCs implicates noncanonical Wnt signaling in antiandrogen resistance , 2015, Science.
[14] Stefanie S Jeffrey,et al. Circulating tumor cell technologies , 2016, Molecular oncology.
[15] Eugene J. Lim,et al. Microfluidic, marker-free isolation of circulating tumor cells from blood samples , 2014, Nature Protocols.
[16] V. Valero,et al. Comparison of assay methods for detection of circulating tumor cells in metastatic breast cancer: AdnaGen AdnaTest BreastCancer Select/Detect™ versus Veridex CellSearch™ system , 2012, International journal of cancer.
[17] Bin Huang,et al. RACIPE: a computational tool for modeling gene regulatory circuits using randomization , 2017, bioRxiv.
[18] C. Dive,et al. CIRCULATING TUMOR CELLS , 2012 .
[19] L. J. K. Wee,et al. Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors , 2017, Nature Genetics.
[20] Paul Hoffman,et al. Integrating single-cell transcriptomic data across different conditions, technologies, and species , 2018, Nature Biotechnology.
[21] John Hines,et al. Optimization and Evaluation of a Novel Size Based Circulating Tumor Cell Isolation System , 2015, PloS one.
[22] Wenjun Guo,et al. The Epithelial-Mesenchymal Transition Generates Cells with Properties of Stem Cells , 2008, Cell.
[23] F. Bai,et al. Single-cell analyses of circulating tumor cells , 2015, Cancer biology & medicine.
[24] Woncheol Lee,et al. Hydro-Seq enables contamination-free high-throughput single-cell RNA-sequencing for circulating tumor cells , 2019, Nature Communications.
[25] D. Heymann,et al. Circulating Tumor Cells: A Review of Non-EpCAM-Based Approaches for Cell Enrichment and Isolation. , 2016, Clinical chemistry.
[26] Peter C. Y. Chen,et al. Slanted spiral microfluidics for the ultra-fast, label-free isolation of circulating tumor cells. , 2014, Lab on a chip.
[27] Jean Paul Thiery,et al. EMT: 2016 , 2016, Cell.
[28] A. del Sol,et al. Stemness of the hybrid Epithelial/Mesenchymal State in Breast Cancer and Its Association with Poor Survival , 2015, PloS one.
[29] Sridhar Ramaswamy,et al. Expression of β-globin by cancer cells promotes cell survival during blood-borne dissemination , 2017, Nature Communications.
[30] Tony J. Pircher,et al. Detection of EpCAM-Negative and Cytokeratin-Negative Circulating Tumor Cells in Peripheral Blood , 2011, Journal of oncology.
[31] Caroline Dive,et al. SnapShot: Circulating Tumor Cells , 2017, Cell.
[32] Joshua M. Stuart,et al. The Cancer Genome Atlas Pan-Cancer analysis project , 2013, Nature Genetics.
[33] Zhi Zhu,et al. Enrichment and single-cell analysis of circulating tumor cells , 2016, Chemical science.
[34] Jongyoon Han,et al. Ultra-fast, label-free isolation of circulating tumor cells from blood using spiral microfluidics , 2015, Nature Protocols.
[35] N. Beerenwinkel,et al. Neutrophils escort circulating tumour cells to enable cell cycle progression , 2019, Nature.
[36] John W. Park,et al. Circulating Tumor Cells , 2017, Methods in Molecular Biology.
[37] Ben S. Wittner,et al. Single-Cell RNA Sequencing Identifies Extracellular Matrix Gene Expression by Pancreatic Circulating Tumor Cells , 2014, Cell reports.
[38] Laleh Haghverdi,et al. Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors , 2018, Nature Biotechnology.
[39] Sridhar Ramaswamy,et al. A microfluidic device for label-free, physical capture of circulating tumor cell-clusters , 2015, Nature Methods.
[40] Sridhar Ramaswamy,et al. HER2 expression identifies dynamic functional states within circulating breast cancer cells , 2016, Nature.
[41] Thomas J. Watson,et al. An empirical study of the naive Bayes classifier , 2001 .
[42] Ben S. Wittner,et al. AR Expression in Breast Cancer CTCs Associates with Bone Metastases , 2018, Molecular Cancer Research.
[43] H. Levine,et al. Hybrid epithelial/mesenchymal phenotype(s): The 'fittest' for metastasis? , 2018, Biochimica et biophysica acta. Reviews on cancer.
[44] M. G. van der Wijst,et al. Single-cell RNA sequencing identifies cell type-specific cis-eQTLs and co-expression QTLs , 2018, Nature Genetics.
[45] T. Tan,et al. Epithelial-mesenchymal transition spectrum quantification and its efficacy in deciphering survival and drug responses of cancer patients , 2014, EMBO molecular medicine.
[46] H. Levine,et al. Epithelial mesenchymal transition ( EMT ) , a spectrum of states : role in lung development , homeostasis and disease , 2017 .
[47] Florence March,et al. 2016 , 2016, Affair of the Heart.
[48] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .
[49] A. Bhagat,et al. ClearCell® FX, a label‐free microfluidics technology for enrichment of viable circulating tumor cells , 2018, Cytometry. Part A : the journal of the International Society for Analytical Cytology.
[50] Sridhar Ramaswamy,et al. Circulating Tumor Cell Clusters Are Oligoclonal Precursors of Breast Cancer Metastasis , 2014, Cell.
[51] Jeffrey T Leek,et al. Reproducible RNA-seq analysis using recount2 , 2017, Nature Biotechnology.