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Resources
Algorithms
SPaRTAN: Computational framework for linking cell-surface receptors to transcriptional regulators by exploiting CITE-seq datasets with cis-regulatory information 
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CITRUS: Interpretable neural network to model the impact of somatic alterations on transcription factors and downstream transcriptional programs
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PSIONIC: A multitask framework that jointly models transcriptional networks for several related cancer types by leveraging chromatin accessibility and gene expression data
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Datasets
Mesothelioma: Human malignant mesothelioma CITE-seq profiling
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Web resources
COVID-19db of Immune Cell StatesA comprehensive web resource linking surface proteins to transcription factors for host immune cell types to assist in the discovery of COVID-19 potential therapeutic targets and diagnostic biomarkers.
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Mesothelioma Spatial Atlas: A web resource providing interactive visualizations of malignant mesothelioma multiplex immunofluorescence (mIF) dataset and eosin (H&E) images of tumor samples to facilitate the understanding of pathogenesis and identify novel therapies.
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Tutorial
Computational Approaches for Identifying Context-Specific Transcription Factors using Single-Cell Multi-Omics Datasets
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