Carlo Colantuoni

发表

PatternMarkers & GWCoGAPS for novel data-driven biomarkers via whole transcriptome NMF

Genevieve L Stein-O’Brien, Jacob L Carey, Wai-shing Lee, 2016, bioRxiv.

gEAR: Gene Expression Analysis Resource portal for community-driven, multi-omic data exploration

Owen White, Amiel A. Dror, Carlo Colantuoni, 2020, Nature Methods.

Decomposing Cell Identity for Transfer Learning across Cellular Measurements, Platforms, Tissues, and Species.

Sheng Liu, Carlo Colantuoni, Elana J Fertig, 2019, Cell systems.

SNOMAD (Standardization and NOrmalization of MicroArray Data): web-accessible gene expression data analysis

Jonathan Pevsner, Carlo Colantuoni, Scott Zeger, 2002, Bioinform..

PatternMarkers & GWCoGAPS for novel data-driven biomarkers via whole transcriptome NMF

Michael F. Ochs, Michael Considine, Emily Flam, 2016, bioRxiv.

projectR: An R/Bioconductor package for transfer learning via PCA, NMF, correlation, and clustering

Gaurav Sharma, Carlo Colantuoni, Elana J. Fertig, 2019, bioRxiv.

Snomad: Biologist-Friendly Web Tools for the Standardization and NOrmalization of Microarray Data

Scott L. Zeger, Carlo Colantuoni, George Henry, 2003 .

Pattern identification in time-course gene expression data with the CoGAPS matrix factorization.

Carlo Colantuoni, Elana J Fertig, Genevieve Stein-O'Brien, 2014, Methods in molecular biology.

Erratum to: Practical impacts of genomic data “cleaning” on biological discovery using surrogate variable analysis

Andrew E. Jaffe, Jeffrey T. Leek, Carlo Colantuoni, 2015, BMC Bioinformatics.

Decomposing cell identity for transfer learning across cellular measurements, platforms, tissues, and species

Carlo Colantuoni, Elana J. Fertig, Genevieve Stein-O'Brien, 2018, bioRxiv.

projectR: An R/Bioconductor package for transfer learning via PCA, NMF, correlation, and clustering.

Gaurav Sharma, Carlo Colantuoni, Elana J Fertig, 2020, Bioinformatics.

PatternMarkers and Genome-Wide CoGAPS Analysis in Parallel Sets (GWCoGAPS) for data-driven detection of novel biomarkers via whole transcriptome Non-negative matrix factorization (NMF)

Michael F. Ochs, Wai-shing Lee, Michael Considine, 2016 .

Practical impacts of genomic data “cleaning” on biological discovery using surrogate variable analysis

Andrew E. Jaffe, Jeffrey T. Leek, Carlo Colantuoni, 2015, BMC Bioinformatics.

Genome-Scale Transcriptional Regulatory Network Models of Psychiatric and Neurodegenerative Disorders.

Paul Shannon, Carlo Colantuoni, Seth A Ament, 2019, Cell systems.

Age-related changes in the expression of schizophrenia susceptibility genes in the human prefrontal cortex

Carlo Colantuoni, Daniel R. Weinberger, J. Kleinman, 2008, Brain Structure and Function.

Gene Expression Profiling in Postmortem Rett Syndrome Brain: Differential Gene Expression and Patient Classification

Eric P. Hoffman, Jonathan Pevsner, Alex Chenchik, 2001, Neurobiology of Disease.

Rapid encoding of new information alters the profile of plasticity-related mRNA transcripts in the hippocampal CA3 region

Carlo Colantuoni, Michela Gallagher, M. Gallagher, 2008, Proceedings of the National Academy of Sciences.

Developmental and genetic regulation of the human cortex transcriptome illuminate schizophrenia pathogenesis

Jeffrey T Leek, Leonardo Collado-Torres, Carlo Colantuoni, 2018, Nature Neuroscience.

Local mean normalization of microarray element signal intensities across an array surface: quality control and correction of spatially systematic artifacts.

Jonathan Pevsner, Carlo Colantuoni, Scott Zeger, 2002, BioTechniques.