Validating module network learning algorithms using simulated data. - Tom Michoel; Steven Maere; Eric Bonnet; Anagha Joshi; Yvan Saeys; Tim Van den Bulcke; Koenraad Van Leemput; Piet van Remortel; Martin Kuiper; Kathleen Marchal; Yves Van de Peer (BMC Bioinform., 2007)

Analysis of a Gibbs sampler method for model-based clustering of gene expression data. - Anagha Joshi; Yves Van de Peer; Tom Michoel (Bioinform., 2008)

Module networks revisited: computational assessment and prioritization of model predictions. - Anagha Joshi; Riet De Smet; Kathleen Marchal; Yves Van de Peer; Tom Michoel (Bioinform., 2009)

Comparative analysis of module-based versus direct methods for reverse-engineering transcriptional regulatory networks. - Tom Michoel; Riet De Smet; Anagha Joshi; Yves Van de Peer; Kathleen Marchal (BMC Syst. Biol., 2009)

TRES predicts transcription control in embryonic stem cells. - Christopher Pooley; David Ruau; Patrick Lombard; Berthold Göttgens; Anagha Joshi (Bioinform., 2014)

Mammalian transcriptional hotspots are enriched for tissue specific enhancers near cell type specific highly expressed genes and are predicted to act as transcriptional activator hubs. - Anagha Joshi (BMC Bioinform., 2014)

A promoter-level mammalian expression atlas. - Fantom Consortium; RIKEN PMII; RIKEN CLST (DGT); Alistair R. R. Forrest; Hideya Kawaji; Michael Rehli; J. Kenneth Baillie; Michiel J. L. de Hoon; Vanja Haberle; Timo Lassmann; Ivan V. Kulakovskiy; Marina Lizio; et al. (Nat., 2014)

Comparative Analysis of Bivalent Domains in Mammalian Embryonic Stem Cells. - Anna Mantsoki; Anagha Joshi (IWBBIO (1), 2015)

Multi-Species Network Inference Improves Gene Regulatory Network Reconstruction for Early Embryonic Development in Drosophila. - Anagha Joshi; Yvonne Beck; Tom Michoel (J. Comput. Biol., 2015)

Heat*seq: an interactive web tool for high-throughput sequencing experiment comparison with public data. - Guillaume Devailly; Anna Mantsoki; Anagha Joshi (Bioinform., 2016)

Gene expression variability in mammalian embryonic stem cells using single cell RNA-seq data. - Anna Mantsoki; Guillaume Devailly; Anagha Joshi (Comput. Biol. Chem., 2016)

Transcription Control in Human Cell Types by Systematic Analysis of ChIP Sequencing Data from the ENCODE. - Guillaume Devailly; Anagha Joshi (IWBBIO (2), 2017)

scFeatureFilter: Correlation-Based Feature Filtering for Single-Cell RNAseq. - Angeles Arzalluz-Luque; Guillaume Devailly; Anagha Joshi (IWBBIO (1), 2018)

Insights into mammalian transcription control by systematic analysis of ChIP sequencing data. - Guillaume Devailly; Anagha Joshi (BMC Bioinform., 2018)

Adaptive digital tissue deconvolution. - Franziska Görtler; Malte Mensching-Buhr; Ørjan Skaar; Stefan Schrod; Thomas Sterr; Andreas Schäfer 005; Tim Beißbarth; Anagha Joshi; Helena U. Zacharias; Sushma Nagaraja Grellscheid; Michael Altenbuchinger (Bioinform., 2024)

Big data and AI for gender equality in health: bias is a big challenge. - Anagha Joshi (Frontiers Big Data, 2024)