SINCELLMOD-2020: SINGLE CELL DATA IN NETWORK MODELING

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Albrecht, Steffen	Machine Learning based Data Imputation for Single-Cell ChIP-seq
Amit, Ido	The power of ONE: Immunology in the age of single cell genomics
Andrade-Navarro, Miguel	Machine Learning based Data Imputation for Single-Cell ChIP-seq
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Cabeli, Vincent	Causal network approach to identify molecular drivers of haematopoietic fate decisions
Cavazzana, Marina	A multivariate statistical framework for characterizing transcriptional heterogeneity of single-cell profiles from rare diseases
Chevalier, Stephanie	Synthesis of Boolean Networks from Single Cell Trajectory-based Constraints
Cortal, Akira	A multivariate statistical framework for characterizing transcriptional heterogeneity of single-cell profiles from rare diseases
Cosgrove, Jason	Causal network approach to identify molecular drivers of haematopoietic fate decisions
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Del Sol Mesa, Antonio	Single-Cell Computational Systems Biology Approaches to Stem Cell Research and Regenerative Medicine
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Elias, Ventre	Metastability and energetic landscape : from Gene Regulatory Networks to cell trajectories
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Fontaine, Jean-Fred	Machine Learning based Data Imputation for Single-Cell ChIP-seq
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Gandrillon, Olivier	Introduction Metastability and energetic landscape : from Gene Regulatory Networks to cell trajectories
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Isambert, Hervé	Causal network approach to identify molecular drivers of haematopoietic fate decisions
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Lücken, Malte	Making optimal use of your single-cell transcriptomic data: Building an analysis pipeline
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Marku, Malvina	A network perspective on macrophage phenotypes in the tumour microenvironment
Martignetti, Loredana	A multivariate statistical framework for characterizing transcriptional heterogeneity of single-cell profiles from rare diseases
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Pancaldi, Vera	A network perspective on macrophage phenotypes in the tumour microenvironment
Paulevé, Loïc	Synthesis of Boolean Networks from Single Cell Trajectory-based Constraints
Perié, Leila	Causal network approach to identify molecular drivers of haematopoietic fate decisions
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Rausell, Antonio	A multivariate statistical framework for characterizing transcriptional heterogeneity of single-cell profiles from rare diseases
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Six, Emmanuelle	A multivariate statistical framework for characterizing transcriptional heterogeneity of single-cell profiles from rare diseases
Sobrino, Steicy	A multivariate statistical framework for characterizing transcriptional heterogeneity of single-cell profiles from rare diseases
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Thibault, Espinasse	Metastability and energetic landscape : from Gene Regulatory Networks to cell trajectories
Thomas, Lepoutre	Metastability and energetic landscape : from Gene Regulatory Networks to cell trajectories
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Vincent, Calvez	Metastability and energetic landscape : from Gene Regulatory Networks to cell trajectories
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Zinovyev, Andrei	Synthesis of Boolean Networks from Single Cell Trajectory-based Constraints

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