[go: up one dir, main page]

Follow
Paul Sheridan
Title
Cited by
Cited by
Year
The AURKA/TPX2 axis drives colon tumorigenesis cooperatively with MYC
Y Takahashi, P Sheridan, A Niida, G Sawada, R Uchi, H Mizuno, ...
Annals of Oncology 26 (5), 935-942, 2015
1202015
PAFit: A statistical method for measuring preferential attachment in temporal complex networks
T Pham, P Sheridan, H Shimodaira
PloS one 10 (9), e0137796, 2015
962015
Joint estimation of preferential attachment and node fitness in growing complex networks
T Pham, P Sheridan, H Shimodaira
Scientific Reports 6, 32558, 2016
842016
A novel ASXL1–OGT axis plays roles in H3K4 methylation and tumor suppression in myeloid malignancies
D Inoue, T Fujino, P Sheridan, Y Zhang, R Nagase, S Horikawa, Z Li, ...
Leukemia 32 (6), 1327-1337, 2018
792018
A Preferential Attachment Paradox: How Preferential Attachment Combines with Growth to Produce Networks with Log-normal In-degree Distributions
P Sheridan, T Onodera
Scientific Reports 8 (1), 1-11, 2018
542018
Identification of RNA-binding protein LARP4B as a tumor suppressor in glioma
H Koso, H Yi, P Sheridan, S Miyano, Y Ino, T Todo, S Watanabe
Cancer Research 76 (8), 2254-2264, 2016
542016
A scale-free structure prior for graphical models with applications in functional genomics
P Sheridan, T Kamimura, H Shimodaira
PLoS One 5 (11), e13580, 2010
372010
Large-scale DNA barcode library generation for biomolecule identification in high-throughput screens
E Lyons, P Sheridan, G Tremmel, S Miyano, S Sugano
Scientific Reports 7 (1), 1-7, 2017
362017
A preferential attachment model with Poisson growth for scale-free networks
P Sheridan, Y Yagahara, H Shimodaira
Annals of the institute of statistical mathematics 60 (4), 747-761, 2008
242008
Measuring preferential attachment in growing networks with missing-timelines using Markov chain Monte Carlo
P Sheridan, Y Yagahara, H Shimodaira
Physica A: Statistical Mechanics and its Applications 391 (20), 5031-5040, 2012
232012
An ontology-based recommender system with an application to the star trek television franchise
P Sheridan, M Onsjö, C Becerra, S Jimenez, G Dueñas
Future Internet 11 (9), 182, 2019
212019
PAFit: An R Package for the Non-Parametric Estimation of Preferential Attachment and Node Fitness in Temporal Complex Networks
T Pham, P Sheridan, H Shimodaira
Journal of Statistical Software 92 (3), 2020
172020
The hypergeometric test performs comparably to TF-IDF on standard text analysis tasks
P Sheridan, M Onsjö
Multimedia Tools and Applications 83 (10), 28875-28890, 2024
112024
Bromodomain protein BRD8 regulates cell cycle progression in colorectal cancer cells through a TIP60-independent regulation of the pre-RC complex
K Yamaguchi, S Nakagawa, A Saku, Y Isobe, R Yamaguchi, P Sheridan, ...
Iscience 26 (4), 2023
112023
PAFIT: An R package for estimating preferential attachment and node fitness in temporal complex networks
T Pham, P Sheridan, H Shimodaira
arXiv preprint arXiv:1704.06017, 2017
82017
Theme Enrichment Analysis: A Statistical Test for Identifying Significantly Enriched Themes in a List of Stories with an Application to the Star Trek Television Franchise
M Onsjö, P Sheridan
Digital Studies / Le champ numérique 10 (1), 1, 2020
62020
Spatial modeling of extreme temperature in the Canadian Prairies using max-stable processes
A Boluwade, P Sheridan, AA Farooque
Results in Engineering, 101879, 2024
52024
Nonparametric estimation of the preferential attachment function in complex networks: evidence of deviations from log linearity
T Pham, P Sheridan, H Shimodaira
Proceedings of ECCS 2014: European Conference on Complex Systems, 141-153, 2016
52016
PAFit: Nonparametric Estimation of Preferential Attachment and Node Fitness in Temporal Complex Networks
T Pham, P Sheridan, H Shimodaira
R package version 0.7, 2015
52015
A Fisher’s exact test justification of the TF–IDF term-weighting scheme
P Sheridan, Z Ahmed, AA Farooque
The American Statistician, 1-24, 2025
42025
The system can't perform the operation now. Try again later.
Articles 1–20