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Steven Woodhouse
Steven Woodhouse
Adaptive Biotechnologies
Verified email at adaptivebiotech.com
Title
Cited by
Cited by
Year
Decoding the regulatory network of early blood development from single-cell gene expression measurements
V Moignard, S Woodhouse, L Haghverdi, AJ Lilly, Y Tanaka, ...
Nature biotechnology 33 (3), 269-276, 2015
4192015
BTR: training asynchronous Boolean models using single-cell expression data
CY Lim, H Wang, S Woodhouse, N Piterman, L Wernisch, J Fisher, ...
BMC bioinformatics 17, 1-18, 2016
902016
SCNS: a graphical tool for reconstructing executable regulatory networks from single-cell genomic data
S Woodhouse, N Piterman, CM Wintersteiger, B Göttgens, J Fisher
BMC systems biology 12, 1-7, 2018
792018
Single-cell antigen-specific landscape of CAR T infusion product identifies determinants of CD19-positive relapse in patients with ALL
Z Bai, S Woodhouse, Z Zhao, R Arya, K Govek, D Kim, S Lundh, A Baysoy, ...
Science advances 8 (23), eabj2820, 2022
692022
Single-cell analysis of CD4+ T-cell differentiation reveals three major cell states and progressive acceleration of proliferation
V Proserpio, A Piccolo, L Haim-Vilmovsky, G Kar, T Lönnberg, ...
Genome biology 17, 1-15, 2016
672016
Single-cell multiomics dissection of basal and antigen-specific activation states of CD19-targeted CAR T cells
Z Bai, S Lundh, D Kim, S Woodhouse, DM Barrett, RM Myers, SA Grupp, ...
Journal for ImmunoTherapy of Cancer 9 (5), 2021
382021
Mapping Rora expression in resting and activated CD4+ T cells
L Haim-Vilmovsky, J Henriksson, JA Walker, Z Miao, E Natan, G Kar, ...
PloS one 16 (5), e0251233, 2021
34*2021
Single-cell transcriptomic analysis of mIHC images via antigen mapping
KW Govek, EC Troisi, Z Miao, RG Aubin, S Woodhouse, PG Camara
Science Advances 7 (10), eabc5464, 2021
342021
Transcriptional hierarchies regulating early blood cell development
V Moignard, S Woodhouse, J Fisher, B Göttgens
Blood Cells, Molecules, and Diseases 51 (4), 239-247, 2013
312013
Synthesising executable gene regulatory networks from single-cell gene expression data
J Fisher, AS Köksal, N Piterman, S Woodhouse
Computer Aided Verification: 27th International Conference, CAV 2015, San …, 2015
292015
Single-cell analyses of regulatory network perturbations using enhancer-targeting TALEs suggest novel roles for PU.1 during haematopoietic specification
AC Wilkinson, VKS Kawata, J Schütte, X Gao, S Antoniou, C Baumann, ...
Development 141 (20), 4018-4030, 2014
262014
Processing, visualising and reconstructing network models from single‐cell data
S Woodhouse, V Moignard, B Göttgens, J Fisher
Immunology and Cell Biology 94 (3), 256-265, 2016
182016
Building an ENCODE-style data compendium on a shoestring
D Ruau, FSL Ng, NK Wilson, R Hannah, E Diamanti, P Lombard, ...
Nature methods 10 (10), 926-926, 2013
152013
Using state space exploration to determine how gene regulatory networks constrain mutation order in cancer evolution
MA Clarke, S Woodhouse, N Piterman, BA Hall, J Fisher
Automated reasoning for systems biology and medicine, 133-153, 2019
92019
Program synthesis meets deep learning for decoding regulatory networks
J Fisher, S Woodhouse
Current Opinion in Systems Biology 4, 64-70, 2017
72017
Developmental trajectories of thalamic progenitors revealed by single-cell transcriptome profiling and Shh perturbation
KW Govek, S Chen, P Sgourdou, Y Yao, S Woodhouse, T Chen, ...
Cell reports 41 (10), 2022
6*2022
AIRIVA: a deep generative model of adaptive immune repertoires
MF Pradier, N Prasad, P Chapfuwa, S Ghalebikesabi, M Ilse, ...
Machine Learning for Healthcare Conference, 588-611, 2023
32023
Synthesising executable gene regulatory networks in haematopoiesis from single-cell gene expression data
S Woodhouse
University of Cambridge, 2017
32017
Seq2MAIT: A Novel Deep Learning Framework for Identifying Mucosal Associated Invariant T (MAIT) Cells
H ElAbd, R Byron, S Woodhouse, B Robinett, J Sulc, A Franke, M Pesesky, ...
bioRxiv, 2024.03. 12.584395, 2024
2024
Ex-vivo stimulation of chimeric antigen receptor T cell pre-infusion products predicts clinical response in pediatric B cell acute lymphoblastic leukemia.
S Woodhouse, Z Bai, R Fan, PG Camara, JJ Melenhorst
CANCER RESEARCH 80 (21), 2020
2020
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