Alexander Lachmann
Citado por
Citado por
Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
MV Kuleshov, MR Jones, AD Rouillard, NF Fernandez, Q Duan, Z Wang, ...
Nucleic acids research 44 (W1), W90-W97, 2016
ChEA: transcription factor regulation inferred from integrating genome-wide ChIP-X experiments
A Lachmann, H Xu, J Krishnan, SI Berger, AR Mazloom, A Ma'ayan
Bioinformatics 26 (19), 2438-2444, 2010
Gene set knowledge discovery with enrichr
Z Xie, A Bailey, MV Kuleshov, DJB Clarke, JE Evangelista, SL Jenkins, ...
Current protocols 1 (3), e90, 2021
Functional characterization of somatic mutations in cancer using network-based inference of protein activity
MJ Alvarez, Y Shen, FM Giorgi, A Lachmann, BB Ding, BH Ye, A Califano
Nature genetics 48 (8), 838-847, 2016
Massive mining of publicly available RNA-seq data from human and mouse
A Lachmann, D Torre, AB Keenan, KM Jagodnik, HJ Lee, L Wang, ...
Nature communications 9 (1), 1-10, 2018
The library of integrated network-based cellular signatures NIH program: system-level cataloging of human cells response to perturbations
AB Keenan, SL Jenkins, KM Jagodnik, S Koplev, E He, D Torre, Z Wang, ...
Cell systems 6 (1), 13-24, 2018
Systems-level dynamic analyses of fate change in murine embryonic stem cells
R Lu, F Markowetz, RD Unwin, JT Leek, EM Airoldi, BD MacArthur, ...
Nature 462 (7271), 358-362, 2009
ChEA3: transcription factor enrichment analysis by orthogonal omics integration
AB Keenan, D Torre, A Lachmann, AK Leong, ML Wojciechowicz, V Utti, ...
Nucleic acids research 47 (W1), W212-W224, 2019
Global phosphorylation analysis of β-arrestin–mediated signaling downstream of a seven transmembrane receptor (7TMR)
K Xiao, J Sun, J Kim, S Rajagopal, B Zhai, J Villén, W Haas, JJ Kovacs, ...
Proceedings of the National Academy of Sciences 107 (34), 15299-15304, 2010
KEA: kinase enrichment analysis
A Lachmann, A Ma'ayan
Bioinformatics 25 (5), 684-686, 2009
ARACNe-AP: gene network reverse engineering through adaptive partitioning inference of mutual information
A Lachmann, FM Giorgi, G Lopez, A Califano
Bioinformatics 32 (14), 2233-2235, 2016
BioJupies: automated generation of interactive notebooks for RNA-Seq data analysis in the cloud
D Torre, A Lachmann, A Ma’ayan
Cell systems 7 (5), 556-561. e3, 2018
Polycomb repressive complex 2 (PRC2) silences genes responsible for neurodegeneration
M von Schimmelmann, PA Feinberg, JM Sullivan, SM Ku, A Badimon, ...
Nature neuroscience 19 (10), 1321-1330, 2016
Correcting under-reported COVID-19 case numbers: estimating the true scale of the pandemic
KM Jagodnik, F Ray, FM Giorgi, A Lachmann
medRxiv, 2020
eXpression2Kinases (X2K) Web: linking expression signatures to upstream cell signaling networks
DJB Clarke, MV Kuleshov, BM Schilder, D Torre, ME Duffy, AB Keenan, ...
Nucleic acids research 46 (W1), W171-W179, 2018
L1000FWD: fireworks visualization of drug-induced transcriptomic signatures
Z Wang, A Lachmann, AB Keenan, A Ma’ayan
Bioinformatics 34 (12), 2150-2152, 2018
LINCS Data Portal 2.0: next generation access point for perturbation-response signatures
V Stathias, J Turner, A Koleti, D Vidovic, D Cooper, M Fazel-Najafabadi, ...
Nucleic acids research 48 (D1), D431-D439, 2020
Receptor heteromerization expands the repertoire of cannabinoid signaling in rodent neurons
R Rozenfeld, I Bushlin, I Gomes, N Tzavaras, A Gupta, S Neves, L Battini, ...
PLoS One 7 (1), e29239, 2012
The COVID-19 gene and drug set library
MV Kuleshov, DJB Clarke, E Kropiwnicki, KM Jagodnik, A Bartal, ...
Research Square, 2020
Mining data and metadata from the gene expression omnibus
Z Wang, A Lachmann, A Ma’ayan
Biophysical reviews 11 (1), 103-110, 2019
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20