Camilo Valdes
Title
Cited by
Cited by
Year
Dynamics of Pseudomonas aeruginosa genome evolution
K Mathee, G Narasimhan, C Valdes, X Qiu, JM Matewish, M Koehrsen, ...
Proceedings of the National Academy of Sciences 105 (8), 3100-3105, 2008
4882008
Existing and potential statistical and computational approaches for the analysis of 3D CT images of plant roots
Z Xu, C Valdes, J Clarke
Agronomy 8 (5), 71, 2018
112018
Identification of BRAF 3'UTR Isoforms in Melanoma.
A Marranci, A Tuccoli, M Vitiello, E Mercoledi, S Sarti, S Lubrano, ...
The Journal of investigative dermatology 135 (6), 1694, 2015
92015
Time series modeling of cell cycle exit identifies Brd4 dependent regulation of cerebellar neurogenesis
C Penas, ME Maloof, V Stathias, J Long, SK Tan, J Mier, Y Fang, ...
Nature communications 10 (1), 1-11, 2019
72019
Characteristics of cross-hybridization and cross-alignment of expression in pseudo-xenograft samples by RNA-seq and microarrays
C Valdes, P Seo, N Tsinoremas, J Clarke
Journal of clinical bioinformatics 3 (1), 8, 2013
62013
Methods to detect transcribed pseudogenes: RNA-Seq discovery allows learning through features
C Valdes, E Capobianco
Pseudogenes, 157-183, 2014
52014
GenSensor suite: a Web-based tool for the analysis of gene and protein interactions, pathways, and regulation
M Gosink, S Khuri, C Valdes, Z Jiang, NF Tsinoremas
Advances in bioinformatics 2011, 2011
52011
Large scale microbiome profiling in the cloud
C Valdes, V Stebliankin, G Narasimhan
Bioinformatics 35 (14), i13-i22, 2019
32019
A Bayes testing approach to metagenomic profiling in bacteria
B Clarke, C Valdes, A Dobra, J Clarke
Statistics and Its Interface 8 (2), 173-185, 2015
32015
Ensemble Modeling Approach Targeting Heterogeneous RNA-Seq data: Application to Melanoma Pseudogenes
E Capobianco, C Valdes, S Sarti, Z Jiang, L Poliseno, NF Tsinoremas
Scientific reports 7 (1), 1-17, 2017
22017
Pseudogenes
L Poliseno
Methods in Molecular Biology Series, 0
2
Detecting bacterial genomes in a metagenomic sample using NGS reads
C Valdes, M Brennan, B Clarke, J Clarke
Statistics and Its Interface 8 (4), 477-494, 2015
12015
EXP4-DFDC: A Non-Stochastic Multi-Armed Bandit for Cache Replacement
FB Yusuf, C Valdes, V Stebliankin, G Vietri, G Narasimhan
arXiv preprint arXiv:2009.11330, 2020
2020
EXP4-DFDC: A Non-Stochastic Multi-Armed Bandit for Cache Replacement
F Beente Yusuf, C Valdes, V Stebliankin, G Vietri, G Narasimhan
arXiv e-prints, arXiv: 2009.11330, 2020
2020
Novel Approach for Microbiome Analysis Using Bacterial Replication Rates and Causal Inference with Applications
V Stebliankin, MR Sazal, C Valdes, K Mathee, G Narasimhan
BioRxiv, 2020
2020
Adapting Flint for Calculating Bacterial Replication Rates in Microbiomes
V Stebliankin, C Valdes, K Mathee, G Narasimhan
2019
Modeling association in microbial communities with clique loglinear models
A Dobra, C Valdes, D Ajdic, B Clarke, J Clarke
Annals of Applied Statistics 13 (2), 931-957, 2019
2019
SUPPLEMENTARY MATERIAL “MODELING ASSOCIATION IN MICROBIAL COMMUNITIES WITH CLIQUE LOGLINEAR MODELS”
A Dobra, C Valdes, D Ajdic, B Clarke, J Clarke
2018
Characteristics of cross-hybridization/cross-alignment of expression in xenograft samples by RNAseq and microarrays
C Valdes, P Seo, JL Clarke
Cancer Research 72 (8 Supplement), 2994-2994, 2012
2012
Supplementary Figures and Tables
A Table
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Articles 1–20