STEME: efficient EM to find motifs in large data sets

Por Reid, John E., Wernisch, Lorenz
Publicado em 2011

STEME: A Robust, Accurate Motif Finder for Large Data Sets

Por Reid, John E., Wernisch, Lorenz
Publicado em 2014

Pseudotime estimation: deconfounding single cell time series

Por Reid, John E., Wernisch, Lorenz
Publicado no Bioinformatics (2016)

Transcriptional programs: Modelling higher order structure in transcriptional control

Por Reid, John E, Ott, Sascha, Wernisch, Lorenz
Publicado em 2009

GPseudoRank: a permutation sampler for single cell orderings

Por Strauß, Magdalena E, Reid, John E, Wernisch, Lorenz
Publicado no Bioinformatics (2019)

Variable structure motifs for transcription factor binding sites

Por Reid, John E, Evans, Kenneth J, Dyer, Nigel, Wernisch, Lorenz, Ott, Sascha
Publicado em 2010

Conserved Cis-Regulatory Modules Control Robustness in Msx1 Expression at Single-Cell Resolution

Por Vance, Keith W., Woodcock, Dan J., Reid, John E., Bretschneider, Till, Ott, Sascha, Koentges, Georgy
Publicado no Genome Biol Evol (2015)

Branch-recombinant Gaussian processes for analysis of perturbations in biological time series

Por Penfold, Christopher A, Sybirna, Anastasiya, Reid, John E, Huang, Yun, Wernisch, Lorenz, Ghahramani, Zoubin, Grant, Murray, Surani, M Azim
Publicado no Bioinformatics (2018)

Machine learning based classification of cells into chronological stages using single-cell transcriptomics

Por Singh, Sumeet Pal, Janjuha, Sharan, Chaudhuri, Samata, Reinhardt, Susanne, Kränkel, Annekathrin, Dietz, Sevina, Eugster, Anne, Bilgin, Halil, Korkmaz, Selçuk, Zararsız, Gökmen, Ninov, Nikolay, Reid, John E.
Publicado no Sci Rep (2018)