D
Daniel Marbach
Researcher at Hoffmann-La Roche
Publications - 53
Citations - 8684
Daniel Marbach is an academic researcher from Hoffmann-La Roche. The author has contributed to research in topics: Gene regulatory network & Inference. The author has an hindex of 24, co-authored 50 publications receiving 7676 citations. Previous affiliations of Daniel Marbach include Massachusetts Institute of Technology & École Polytechnique Fédérale de Lausanne.
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Journal ArticleDOI
Wisdom of crowds for robust gene network inference
Daniel Marbach,James C. Costello,Robert Küffner,Nicole M. Vega,Robert J. Prill,Diogo M. Camacho,Kyle R. Allison,Manolis Kellis,James J. Collins,Gustavo Stolovitzky +9 more
TL;DR: In this paper, the authors performed a comprehensive blind assessment of over 30 network inference methods on Escherichia coli, Staphylococcus aureus, Saccharomyces cerevisiae and in silico microarray data.
Wisdom of crowds for robust gene network inference
Daniel Marbach,James C. Costello,Robert Küffner,Nicole M. Vega,Robert J. Prill,Diogo M. Camacho,Kyle R. Allison,Andrej Aderhold,Richard Bonneau,Yukun Chen,James J. Collins,Francesca Cordero,Martin Crane,Frank Dondelinger,Mathias Drton,Roberto Esposito,Rina Foygel,Alberto de la Fuente,Jan Gertheiss,Pierre Geurts,Alex Greenfield,Marco Grzegorczyk,Anne-Claire Haury,Benjamin Holmes,Torsten Hothorn,Dirk Husmeier,Vân Anh Huynh-Thu,Alexandre Irrthum,Manolis Kellis,Guy Karlebach,Sophie Lèbre,Vincenzo De Leo,Aviv Madar,Subramani Mani,Fantine Mordelet,Harry Ostrer,Zhengyu Ouyang,Ravi Pandya,Tobias Petri,Andrea Pinna,Christopher S. Poultney,Serena Rezny,Heather J. Ruskin,Yvan Saeys,Ron Shamir,Alina Sîrbu,Mingzhou Song,Nicola Soranzo,Alexander Statnikov,Gustavo Stolovitzky,Nicci Vega,Paola Vera-Licona,Jean-Philippe Vert,Alessia Visconti,Haizhou Wang,Louis Wehenkel,Lukas Windhager,Yang Zhang,Ralf Zimmer +58 more
TL;DR: A comprehensive blind assessment of over 30 network inference methods on Escherichia coli, Staphylococcus aureus, Saccharomyces cerevisiae and in silico microarray data defines the performance, data requirements and inherent biases of different inference approaches, and provides guidelines for algorithm application and development.
Journal ArticleDOI
Identification of Functional Elements and Regulatory Circuits by Drosophila modENCODE
Sushmita Roy,Jason Ernst,Peter V. Kharchenko,Pouya Kheradpour,Nicolas Nègre,Matthew L. Eaton,Jane M. Landolin,Christopher A. Bristow,Lijia Ma,Michael F. Lin,Stefan Washietl,Bradley I. Arshinoff,Ferhat Ay,Patrick E. Meyer,Nicolas Robine,Nicole L. Washington,Luisa Di Stefano,Eugene Berezikov,Christopher D. Brown,Rogerio Candeias,Joseph W. Carlson,Adrian Carr,Irwin Jungreis,Daniel Marbach,Rachel Sealfon,Michael Y. Tolstorukov,Sebastian Will,Artyom A. Alekseyenko,Carlo G. Artieri,Benjamin W. Booth,Angela N. Brooks,Qi Dai,Carrie A. Davis,Michael O. Duff,X. Feng,Andrey A. Gorchakov,Tingting Gu,Jorja G. Henikoff,Philipp Kapranov,Renhua Li,Heather K. MacAlpine,John H. Malone,Aki Minoda,Jared T. Nordman,Katsutomo Okamura,Marc D. Perry,Sara K. Powell,Nicole C. Riddle,Akiko Sakai,Anastasia Samsonova,Jeremy E. Sandler,Yuri B. Schwartz,Noa Sher,Rebecca Spokony,David Sturgill,Marijke J. van Baren,Kenneth H. Wan,Li Yang,Charles Yu,Elise A. Feingold,Peter J. Good,Mark S. Guyer,Rebecca F. Lowdon,Kami Ahmad,Justen Andrews,Bonnie Berger,Steven E. Brenner,Michael R. Brent,Lucy Cherbas,Sarah C. R. Elgin,Thomas R. Gingeras,Robert L. Grossman,Roger A. Hoskins,Thomas C. Kaufman,W. J. Kent,Mitzi I. Kuroda,Terry L. Orr-Weaver,Norbert Perrimon,Vincenzo Pirrotta,James W. Posakony,Bing Ren,Steven Russell,Peter Cherbas,Brenton R. Graveley,Suzanna E. Lewis,Gos Micklem,Brian Oliver,Peter J. Park,Susan E. Celniker,Steven Henikoff,Gary H. Karpen,Eric C. Lai,David M. MacAlpine,Lincoln Stein,Kevin P. White,Manolis Kellis +95 more
TL;DR: The Drosophila Encyclopedia of DNA Elements (modENCODE) project as mentioned in this paper has been used to map transcripts, histone modifications, chromosomal proteins, transcription factors, replication proteins and intermediates, and nucleosome properties across a developmental time course and in multiple cell lines.
Journal ArticleDOI
Revealing strengths and weaknesses of methods for gene network inference
Daniel Marbach,Robert J. Prill,Thomas Schaffter,Claudio Mattiussi,Dario Floreano,Gustavo Stolovitzky +5 more
TL;DR: The results of this community-wide experiment show that reliable network inference from gene expression data remains an unsolved problem, and they indicate potential ways of network reconstruction improvements.
Journal ArticleDOI
GeneNetWeaver: in silico benchmark generation and performance profiling of network inference methods
TL;DR: A novel and comprehensive method for in silico benchmark generation and performance profiling of network inference methods available to the community as an open-source software called GNW, which provides a network motif analysis that reveals systematic prediction errors, thereby indicating potential ways of improving inference methods.