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Parallel single-cell and bulk transcriptome analyses reveal key features of the gastric tumor microenvironment

Genome Biology, 2022-12, Vol.23 (1), p.265-25, Article 265

2022

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Transcription factor binding predictions using TRAP for the analysis of ChIP-seq data and regulatory SNPs

Nature protocols, 2011-12, Vol.6 (12), p.1860-1869

2011

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Predicting transcription factor affinities to DNA from a biophysical model

Bioinformatics, 2007-01, Vol.23 (2), p.134-141

2007

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Statistical modeling of transcription factor binding affinities predicts regulatory interactions

PLoS computational biology, 2008-03, Vol.4 (3), p.e1000039-e1000039

2008

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Meta-Analysis of Human Cancer Single-Cell RNA-Seq Datasets Using the IMMUcan Database

Cancer research (Chicago, Ill.), 2023-02, Vol.83 (3), p.363-373

2023

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Predicting gene expression in T cell differentiation from histone modifications and transcription factor binding affinities by linear mixture models

BMC bioinformatics, 2011-02, Vol.12 Suppl 1 (S1), p.S29-S29, Article S29

2011

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Cellenium-a scalable and interactive visual analytics app for exploring multimodal single-cell data

Bioinformatics (Oxford, England), 2023-06, Vol.39 (6)

2023

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PASTAA: identifying transcription factors associated with sets of co-regulated genes

Bioinformatics, 2009-02, Vol.25 (4), p.435-442

2009

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Drug2Gene: an exhaustive resource to explore effectively the drug-target relation network

BMC bioinformatics, 2014-03, Vol.15 (1), p.68-68, Article 68

2014

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Selective depletion of tumor-infiltrating regulatory T cells with BAY 3375968, a novel Fc-optimized anti-CCR8 antibody

Clinical and experimental medicine, 2024-06, Vol.24 (1), p.122

2024

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Hepatocyte Growth Factor Receptor overexpression predicts reduced survival but its targeting is not effective in unselected HNSCC patients

Head & neck, 2020-04, Vol.42 (4), p.625-635

2020

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CpG-depleted promoters harbor tissue-specific transcription factor binding signals--implications for motif overrepresentation analyses

Nucleic acids research, 2009-10, Vol.37 (19), p.6305-6315

2009

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Characterization of BAY 1905254, an Immune Checkpoint Inhibitor Targeting the Immunoglobulin-Like Domain Containing Receptor 2 (ILDR2)

Cancer immunology research, 2020-07, Vol.8 (7), p.895-911

2020

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TGF-β1 potentiates Vγ9Vδ2 T cell adoptive immunotherapy of cancer

Cell reports. Medicine, 2021-12, Vol.2 (12), p.100473-100473, Article 100473

2021

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TransFind--predicting transcriptional regulators for gene sets

Nucleic acids research, 2010-07, Vol.38 (Web Server issue), p.W275-W280

2010

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Inferring epigenetic and transcriptional regulation during blood cell development with a mixture of sparse linear models

Bioinformatics, 2012-09, Vol.28 (18), p.2297-2303

2012

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A trans -acting locus regulates an anti-viral expression network and type 1 diabetes risk

Nature (London), 2010-09, Vol.467 (7314), p.460-464

2010

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Abstract 5011: Meta-analysis of human cancer single cell RNAseq datasets using the fully integrated IMMUcan database

Cancer research (Chicago, Ill.), 2022-06, Vol.82 (12_Supplement), p.5011-5011

2022

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Statistical Modeling of Transcription Factor Binding Affinities Predicts Regulatory Interactions: e1000039

PLoS computational biology, 2008-03, Vol.4 (3)

2008

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Eukaryotic promoter analysis by means of a biophysical model for dna transcription factor interactions

Roider, Helge G

2009

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Parallel single-cell and bulk transcriptome analyses reveal key features of the gastric tumor microenvironment

Transcription factor binding predictions using TRAP for the analysis of ChIP-seq data and regulatory SNPs

Predicting transcription factor affinities to DNA from a biophysical model

Statistical modeling of transcription factor binding affinities predicts regulatory interactions

Meta-Analysis of Human Cancer Single-Cell RNA-Seq Datasets Using the IMMUcan Database

Predicting gene expression in T cell differentiation from histone modifications and transcription factor binding affinities by linear mixture models

Cellenium-a scalable and interactive visual analytics app for exploring multimodal single-cell data

PASTAA: identifying transcription factors associated with sets of co-regulated genes

Drug2Gene: an exhaustive resource to explore effectively the drug-target relation network

Selective depletion of tumor-infiltrating regulatory T cells with BAY 3375968, a novel Fc-optimized anti-CCR8 antibody

Hepatocyte Growth Factor Receptor overexpression predicts reduced survival but its targeting is not effective in unselected HNSCC patients

CpG-depleted promoters harbor tissue-specific transcription factor binding signals--implications for motif overrepresentation analyses

Characterization of BAY 1905254, an Immune Checkpoint Inhibitor Targeting the Immunoglobulin-Like Domain Containing Receptor 2 (ILDR2)

TGF-β1 potentiates Vγ9Vδ2 T cell adoptive immunotherapy of cancer

TransFind--predicting transcriptional regulators for gene sets

Inferring epigenetic and transcriptional regulation during blood cell development with a mixture of sparse linear models

A trans -acting locus regulates an anti-viral expression network and type 1 diabetes risk

Abstract 5011: Meta-analysis of human cancer single cell RNAseq datasets using the fully integrated IMMUcan database

Statistical Modeling of Transcription Factor Binding Affinities Predicts Regulatory Interactions: e1000039

Eukaryotic promoter analysis by means of a biophysical model for dna transcription factor interactions

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