Adam A. Margolin

ChIP-on-chip significance analysis reveals large-scale binding and regulation by human transcription factor oncogenes (2007)

Adam A. Margolin, Teresa Palomero, Pavel Sumazin, Andrea Califano, Adolfo Ferrando, Gustavo A. Stolovitzky

ChIP-on-chip has emerged as a powerful tool to dissect the complex network of regulatory interactions between transcription factors and their targets. However, most ChIP-on-chip analysis methods use...

ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context (2006)

Margolin, Adam A, Nemenman, Ilya, Basso, Katia, Wiggins, Chris, Stolovitzky, Gustavo, Favera, Riccardo, ...

Abstract Background Elucidating gene regulatory networks is crucial for understanding normal cell physiology and complex pathologic phenotypes. Existing computational methods for the genome-wide...

CGHAnalyzer: a stand-alone software package for cancer genome analysis using array-based DNA copy number data (2005)

Margolin, Adam A., Greshock, Joel, Naylor, Tara L., Mosse, Yael, Maris, John M., Bignell, Graham, ...

Summary: This synopsis provides an overview of array-based comparative genomic hybridization data display, abstraction and analysis using CGHAnalyzer, a software suite, designed specifically for this...

CGHAnalyzer: a stand-alone software package for cancer genome analysis using array-based DNA copy number data (2005)

Margolin, Adam A., Greshock, Joel, Naylor, Tara L., Mosse, Yael, Maris, John M., Bignell, Graham, ...

Summary: This synopsis provides an overview of array-based comparative genomic hybridization (aCGH) data display, abstraction and analysis using CGHAnalyzer, a software suite, designed specifically...

On The Reconstruction of Interaction Networks with Applications to Transcriptional Regulation (2004)

Margolin, Adam A., Nemenman, Ilya, Wiggins, Chris, Stolovitzky, Gustavo, Califano, Andrea

A novel information-theoretic method for reconstruction of interaction networks is introduced. We prove that the method is exact for some class of networks. Performance tests on large synthetic...

ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context (2004)

Margolin, Adam A., Nemenman, Ilya, Basso, Katia, Klein, Ulf, Wiggins, Chris, Stolovitzky, Gustavo, ...

Background: Elucidating gene regulatory networks is crucial for understanding normal cell physiology and complex pathologic phenotypes. Existing computational methods for the genome-wide ``reverse...

CTNNB1 Mutations and Overexpression of Wnt/β-Catenin Target Genes in WT1-Mutant Wilms’ Tumors

Li, Chi-Ming, Kim, Connie E., Margolin, Adam A., Guo, Meirong, Zhu, Jimmy, Mason, Jacqueline M., ...

Gain-of-function mutations in exon 3 of β-catenin (CTNNB1) are specific for Wilms’ tumors that have lost WT1, but 50% of WT1-mutant cases lack such “hot spot” mutations. To ask whether...

ChIP-on-chip significance analysis reveals large-scale binding and regulation by human transcription factor oncogenes

Margolin, Adam A., Palomero, Teresa, Sumazin, Pavel, Califano, Andrea, Ferrando, Adolfo A., Stolovitzky, Gustavo

ChIP-on-chip has emerged as a powerful tool to dissect the complex network of regulatory interactions between transcription factors and their targets. However, most ChIP-on-chip analysis methods use...

Identifying the proteins to which small-molecule probes and drugs bind in cells

Ong, Shao-En, Schenone, Monica, Margolin, Adam A., Li, Xiaoyu, Do, Kathy, Doud, Mary K., ...

Most small-molecule probes and drugs alter cell circuitry by interacting with 1 or more proteins. A complete understanding of the interacting proteins and their associated protein complexes, whether...