Francesca Finotello, Clemens Mayer, Christina Plattner, Gerhard Laschober, Dietmar Rieder, Hubert Hackl, Anne Krogsdam, Zuzana Loncova, Wilfried Posch, Doris Wilflingseder, Sieghart Sopper, Marieke Ijsselsteijn, Thomas P Brouwer, Douglas Johnson, Yaomin Xu, Yu Wang, Melinda E Sanders, Monica V Estrada, Paula Ericsson-Gonzalez, Pornpimol Charoentong, Justin Balko, Noel Filipe da Cunha Carvalho de Miranda, Zlatko Trajanoski. Genome Med 2019
Times Cited: 241
Times Cited: 241
Times Cited
Times Co-cited
Similarity
xCell: digitally portraying the tissue cellular heterogeneity landscape.
Dvir Aran, Zicheng Hu, Atul J Butte. Genome Biol 2017
Dvir Aran, Zicheng Hu, Atul J Butte. Genome Biol 2017
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Robust enumeration of cell subsets from tissue expression profiles.
Aaron M Newman, Chih Long Liu, Michael R Green, Andrew J Gentles, Weiguo Feng, Yue Xu, Chuong D Hoang, Maximilian Diehn, Ash A Alizadeh. Nat Methods 2015
Aaron M Newman, Chih Long Liu, Michael R Green, Andrew J Gentles, Weiguo Feng, Yue Xu, Chuong D Hoang, Maximilian Diehn, Ash A Alizadeh. Nat Methods 2015
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Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression.
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Etienne Becht, Nicolas A Giraldo, Laetitia Lacroix, Bénédicte Buttard, Nabila Elarouci, Florent Petitprez, Janick Selves, Pierre Laurent-Puig, Catherine Sautès-Fridman, Wolf H Fridman,[...]. Genome Biol 2016
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Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data.
Julien Racle, Kaat de Jonge, Petra Baumgaertner, Daniel E Speiser, David Gfeller. Elife 2017
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TIMER2.0 for analysis of tumor-infiltrating immune cells.
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Inferring tumour purity and stromal and immune cell admixture from expression data.
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Sonja Hänzelmann, Robert Castelo, Justin Guinney. BMC Bioinformatics 2013
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Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.
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Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint Blockade.
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Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.
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Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology.
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Signatures of T cell dysfunction and exclusion predict cancer immunotherapy response.
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Determining cell type abundance and expression from bulk tissues with digital cytometry.
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TGFβ attenuates tumour response to PD-L1 blockade by contributing to exclusion of T cells.
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Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.
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EPIC: A Tool to Estimate the Proportions of Different Cell Types from Bulk Gene Expression Data.
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ImmuCellAI: A Unique Method for Comprehensive T-Cell Subsets Abundance Prediction and its Application in Cancer Immunotherapy.
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ConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking.
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Profiling Tumor Infiltrating Immune Cells with CIBERSORT.
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Understanding the tumor immune microenvironment (TIME) for effective therapy.
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TIP: A Web Server for Resolving Tumor Immunophenotype Profiling.
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Immune microenvironment composition in non-small cell lung cancer and its association with survival.
Menno Tamminga, Thijo Jeroen N Hiltermann, Ed Schuuring, Wim Timens, Rudolf Sn Fehrmann, Harry Jm Groen. Clin Transl Immunology 2020
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The Molecular Signatures Database (MSigDB) hallmark gene set collection.
Arthur Liberzon, Chet Birger, Helga Thorvaldsdóttir, Mahmoud Ghandi, Jill P Mesirov, Pablo Tamayo. Cell Syst 2015
Arthur Liberzon, Chet Birger, Helga Thorvaldsdóttir, Mahmoud Ghandi, Jill P Mesirov, Pablo Tamayo. Cell Syst 2015
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Development of tumor mutation burden as an immunotherapy biomarker: utility for the oncology clinic.
T A Chan, M Yarchoan, E Jaffee, C Swanton, S A Quezada, A Stenzinger, S Peters. Ann Oncol 2019
T A Chan, M Yarchoan, E Jaffee, C Swanton, S A Quezada, A Stenzinger, S Peters. Ann Oncol 2019
7
Conserved pan-cancer microenvironment subtypes predict response to immunotherapy.
Alexander Bagaev, Nikita Kotlov, Krystle Nomie, Viktor Svekolkin, Azamat Gafurov, Olga Isaeva, Nikita Osokin, Ivan Kozlov, Felix Frenkel, Olga Gancharova,[...]. Cancer Cell 2021
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Ferroptosis, necroptosis, and pyroptosis in anticancer immunity.
Rong Tang, Jin Xu, Bo Zhang, Jiang Liu, Chen Liang, Jie Hua, Qingcai Meng, Xianjun Yu, Si Shi. J Hematol Oncol 2020
Rong Tang, Jin Xu, Bo Zhang, Jiang Liu, Chen Liang, Jie Hua, Qingcai Meng, Xianjun Yu, Si Shi. J Hematol Oncol 2020
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pRRophetic: an R package for prediction of clinical chemotherapeutic response from tumor gene expression levels.
Paul Geeleher, Nancy Cox, R Stephanie Huang. PLoS One 2014
Paul Geeleher, Nancy Cox, R Stephanie Huang. PLoS One 2014
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clusterProfiler 4.0: A universal enrichment tool for interpreting omics data.
Tianzhi Wu, Erqiang Hu, Shuangbin Xu, Meijun Chen, Pingfan Guo, Zehan Dai, Tingze Feng, Lang Zhou, Wenli Tang, Li Zhan,[...]. Innovation (N Y) 2021
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Spatiotemporal dynamics of intratumoral immune cells reveal the immune landscape in human cancer.
Gabriela Bindea, Bernhard Mlecnik, Marie Tosolini, Amos Kirilovsky, Maximilian Waldner, Anna C Obenauf, Helen Angell, Tessa Fredriksen, Lucie Lafontaine, Anne Berger,[...]. Immunity 2013
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IOBR: Multi-Omics Immuno-Oncology Biological Research to Decode Tumor Microenvironment and Signatures.
Dongqiang Zeng, Zilan Ye, Rongfang Shen, Guangchuang Yu, Jiani Wu, Yi Xiong, Rui Zhou, Wenjun Qiu, Na Huang, Li Sun,[...]. Front Immunol 2021
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The prognostic landscape of genes and infiltrating immune cells across human cancers.
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Pan-tumor genomic biomarkers for PD-1 checkpoint blockade-based immunotherapy.
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The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data.
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Correction to: Molecular and pharmacological modulators of the tumor immune contexture revealed by deconvolution of RNA-seq data.
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Cancer Statistics, 2021.
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TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data.
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TISIDB: an integrated repository portal for tumor-immune system interactions.
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Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1.
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5
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.