Daniel Mamott

Learning common and specific patterns from data of multiple interrelated biological scenarios with matrix factorization

Inference and analysis of cell-cell communication using CellChat

SCANPY: large-scale single-cell gene expression data analysis

FAVA: high-quality functional association networks inferred from scRNA-seq and proteomics data

Determining cell type abundance and expression from bulk tissues with digital cytometry

Single-cell RNA-seq denoising using a deep count autoencoder

Revealing the vectors of cellular identity with single-cell genomics

SCENIC: single-cell regulatory network inference and clustering

SCnorm: robust normalization of single-cell RNA-seq data

Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression

Dictionary learning for integrative, multimodal and scalable single-cell analysis

Single-Cell Transcriptomic Analysis of Primary and Metastatic Tumor Ecosystems in Head and Neck Cancer

Reversed graph embedding resolves complex single-cell trajectories

Understanding development and stem cells using single cell-based analyses of gene expression

Single-cell CUT&Tag analysis of chromatin modifications in differentiation and tumor progression

The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest

Single-cell RNA-seq reveals novel regulators of human embryonic stem cell differentiation to definitive endoderm