A Theoretical Analysis of Gene Selection. - Sach Mukherjee; Stephen J. Roberts (CSB, 2004)

Probabilistic Consistency Analysis for Gene Selection. - Sach Mukherjee; Stephen J. Roberts (CSB, 2004)

Data-adaptive test statistics for microarray data. - Sach Mukherjee; Stephen J. Roberts; Mark J. van der Laan (ECCB/JBI, 2005)

A Theoretical Analysis of the Selection of Differentially Expressed Genes. - Sach Mukherjee; Stephen J. Roberts (J. Bioinform. Comput. Biol., 2005)

Next station in microarray data analysis: GEPAS. - David Montaner; Joaquín Tárraga; Jaime Huerta-Cepas; Jordi Burguet-Castell; Juan M. Vaquerizas; Lucía Conde; Pablo Minguez; Javier Vera; Sach Mukherjee; Joan Valls; Miguel A. G. Pujana; Eva Alloza; et al. (Nucleic Acids Res., 2006)

Sparse combinatorial inference with an application in cancer biology. - Sach Mukherjee; Steven Pelech; Richard M. Neve; Wen-Lin Kuo; Safiyyah Ziyad; Paul T. Spellman; Joe W. Gray; Terence P. Speed (Bioinform., 2009)

Multiple Hypothesis Testing for Data Mining. - Sach Mukherjee (Encyclopedia of Data Warehousing and Mining, 2009)

MC4: A Tempering Algorithm for Large-Sample Network Inference. - Daniel James Barker; Steven M. Hill; Sach Mukherjee (PRIB, 2010)

Temporal clustering by affinity propagation reveals transcriptional modules in Arabidopsis thaliana. - Steven J. Kiddle; Oliver P. F. Windram; Stuart McHattie; Andrew Meade; Jim Beynon; Vicky Buchanan-Wollaston; Katherine J. Denby; Sach Mukherjee (Bioinform., 2010)

Network clustering: probing biological heterogeneity by sparse graphical models. - Sach Mukherjee; Steven M. Hill (Bioinform., 2011)

Bayesian Inference of Signaling Network Topology in a Cancer Cell Line. - Steven M. Hill; Yiling Lu; Jennifer Molina; Laura Heiser; Paul T. Spellman; Terence P. Speed; Joe W. Gray; Gordon B. Mills; Sach Mukherjee (Bioinform., 2012)

Integrating biological knowledge into variable selection: an empirical Bayes approach with an application in cancer biology. - Steven M. Hill; Richard M. Neve; Nora Bayani; Wen-Lin Kuo; Safiyyah Ziyad; Paul T. Spellman; Joe W. Gray; Sach Mukherjee (BMC Bioinform., 2012)

Network inference using steady-state data and Goldbeter-Koshland kinetics. - Chris J. Oates; Bryan T. J. Hennessy; Yiling Lu; Gordon B. Mills; Sach Mukherjee (Bioinform., 2013)

Network-based clustering with mixtures of L1-penalized Gaussian graphical models: an empirical investigation - Steven M. Hill; Sach Mukherjee (CoRR, 2013)

Joint Structure Learning of Multiple Non-Exchangeable Networks. - Chris J. Oates; Sach Mukherjee (AISTATS, 2014)

Causal network inference using biochemical kinetics. - Chris J. Oates; Frank Dondelinger; Nora Bayani; James Korkola; Joe W. Gray; Sach Mukherjee (Bioinform., 2014)

A Gibbs Sampler for Learning DAGs. - Robert J. B. Goudie; Sach Mukherjee (J. Mach. Learn. Res., 2016)

Estimating Causal Structure Using Conditional DAG Models. - Chris J. Oates; Jim Q. Smith; Sach Mukherjee (J. Mach. Learn. Res., 2016)

Exact estimation of multiple directed acyclic graphs. - Chris J. Oates; Jim Q. Smith; Sach Mukherjee; James Cussens (Stat. Comput., 2016)

Molecular heterogeneity at the network level: high-dimensional testing, clustering and a TCGA case study. - Nicolas Städler; Frank Dondelinger; Steven M. Hill; Rehan Akbani; Yiling Lu; Gordon B. Mills; Sach Mukherjee (Bioinform., 2017)

SCCA-Ref: Novel Sparse Canonical Correlation Analysis with Reference to Discover Independent Spatial Associations Between White Matter Hyperintensities and Atrophy. - Gerard Sanroma; Loes Rutten-Jacobs; Valerie Lohner; Johanna Kramme; Sach Mukherjee; Martin Reuter 001; Tony Stöcker; Monique M. B. Breteler (MLMI@MICCAI, 2018)

Model-based clustering in very high dimensions via adaptive projections. - Bernd Taschler; Frank Dondelinger; Sach Mukherjee (CoRR, 2019)

Ancestral causal learning in high dimensions with a human genome-wide application. - Umberto Noè; Bernd Taschler; Joachim Täger; Peter Heutink; Sach Mukherjee (CoRR, 2019)

Causal Learning via Manifold Regularization. - Steven M. Hill; Chris J. Oates; Duncan A. J. Blythe; Sach Mukherjee (J. Mach. Learn. Res., 2019)

Evaluation of Causal Structure Learning Algorithms via Risk Estimation. - Marco Eigenmann; Sach Mukherjee; Marloes H. Maathuis (UAI, 2020)

High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking. - Fan Wang; Sach Mukherjee; Sylvia Richardson; Steven M. Hill (Stat. Comput., 2020)

Deep recurrent optical flow learning for particle image velocimetry data. - Christian Lagemann; Kai Lagemann; Sach Mukherjee; Wolfgang Schröder 001 (Nat. Mach. Intell., 2021)

On unsupervised projections and second order signals. - Thomas Lartigue; Sach Mukherjee (CoRR, 2022)

Scalable Regularised Joint Mixture Models. - Thomas Lartigue; Sach Mukherjee (CoRR, 2022)

High-Dimensional Undirected Graphical Models for Arbitrary Mixed Data. - Konstantin Göbler; Anne Miloschewski; Mathias Drton; Sach Mukherjee (CoRR, 2022)

Deep Learning of Causal Structures in High Dimensions. - Kai Lagemann; Christian Lagemann; Bernd Taschler; Sach Mukherjee (CoRR, 2022)

Learning Latent Dynamics via Invariant Decomposition and (Spatio-)Temporal Transformers. - Kai Lagemann; Christian Lagemann; Sach Mukherjee (CoRR, 2023)

Regularized Joint Mixture Models. - Konstantinos Perrakis; Thomas Lartigue; Frank Dondelinger; Sach Mukherjee (J. Mach. Learn. Res., 2023)

Deep learning of causal structures in high dimensions under data limitations. - Kai Lagemann; Christian Lagemann; Bernd Taschler; Sach Mukherjee (Nat. Mac. Intell., 2023)

Improved baselines for causal structure learning on interventional data. - Robin Richter; Shankar Bhamidi; Sach Mukherjee (Stat. Comput., 2023)

Invariance-based Learning of Latent Dynamics. - Kai Lagemann; Christian Lagemann; Sach Mukherjee (ICLR, 2024)

Simulation-based Benchmarking for Causal Structure Learning in Gene Perturbation Experiments. - Luka Kovacevic; Izzy Newsham; Sach Mukherjee; John Whittaker (CoRR, 2024)

Large Language Models for Zero-shot Inference of Causal Structures in Biology. - Izzy Newsham; Luka Kovacevic; Richard Moulange; Nan Rosemary Ke; Sach Mukherjee (CoRR, 2025)