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Jose Lugo-Martinez
Jose Lugo-Martinez
Verified email at andrew.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Estimating gene gain and loss rates in the presence of error in genome assembly and annotation using CAFE 3
MV Han, GWC Thomas, J Lugo-Martinez, MW Hahn
Molecular biology and evolution 30 (8), 1987-1997, 2013
7312013
Conservation cores: reducing the energy of mature computations
G Venkatesh, J Sampson, N Goulding, S Garcia, V Bryksin, ...
ACM Sigplan Notices 45 (3), 205-218, 2010
6852010
Inferring the molecular and phenotypic impact of amino acid variants with MutPred2
V Pejaver, J Urresti, J Lugo-Martinez, KA Pagel, GN Lin, HJ Nam, M Mort, ...
Nature communications 11 (1), 5918, 2020
5782020
Extensive error in the number of genes inferred from draft genome assemblies
JF Denton, J Lugo-Martinez, AE Tucker, DR Schrider, WC Warren, ...
PLoS computational biology 10 (12), e1003998, 2014
2982014
Ultra high-dimensional nonlinear feature selection for big biological data
M Yamada, J Tang, J Lugo-Martinez, E Hodzic, R Shrestha, A Saha, ...
IEEE Transactions on Knowledge and Data Engineering 30 (7), 1352-1365, 2018
852018
Dynamic interaction network inference from longitudinal microbiome data
J Lugo-Martinez, D Ruiz-Perez, G Narasimhan, Z Bar-Joseph
Microbiome 7, 1-14, 2019
812019
Dynamic bayesian networks for integrating multi-omics time series microbiome data
D Ruiz-Perez, J Lugo-Martinez, N Bourguignon, K Mathee, B Lerner, ...
Msystems 6 (2), 10.1128/msystems. 01105-20, 2021
342021
The loss and gain of functional amino acid residues is a common mechanism causing human inherited disease
J Lugo-Martinez, V Pejaver, KA Pagel, S Jain, M Mort, DN Cooper, ...
PLoS computational biology 12 (8), e1005091, 2016
252016
Generalized graphlet kernels for probabilistic inference in sparse graphs
J Lugo-Martinez, P Radivojac
Network Science 2 (2), 254-276, 2014
192014
Classification in biological networks with hypergraphlet kernels
J Lugo-Martinez, D Zeiberg, T Gaudelet, N Malod-Dognin, N Przulj, ...
Bioinformatics 37 (7), 1000-1007, 2021
142021
Classification in biological networks with hypergraphlet kernels
J Lugo-Martinez, P Radivojac
arXiv preprint arXiv:1703.04823, 2017
132017
MutPred2: inferring the molecular and phenotypic impact of amino acid variants. bioRxiv 134981
V Pejaver, J Urresti, J Lugo-Martinez, KA Pagel, GN Lin, HJ Nam, M Mort, ...
URL: https://www. biorxiv. org/content/early/2017/05/09/134981, 2017
132017
Integrating longitudinal clinical and microbiome data to predict growth faltering in preterm infants
J Lugo-Martinez, S Xu, J Levesque, D Gallagher, LA Parker, J Neu, ...
Journal of Biomedical Informatics 128, 104031, 2022
72022
Optimal transport for mapping senescent cells in spatial transcriptomics
ND Nguyen, L Rosas, T Khaliullin, P Jiang, E Hasanaj, JA Ovando, ...
bioRxiv, 2023.08. 16.553591, 2023
32023
Combined topological data analysis and geometric deep learning reveal niches by the quantification of protein binding pockets
P Jiang, J Lugo-Martinez
bioRxiv, 2023.08. 25.554762, 2023
22023
Reconstructing SARS-CoV-2 response signaling and regulatory networks
J Ding, J Lugo-Martinez, Y Yuan, DN Kotton, Z Bar-Joseph
BioRxiv, 2020.06. 01.127589, 2020
22020
Reconstructed signaling and regulatory networks identify potential drugs for SARS-CoV-2 infection
J Ding, J Lugo-Martinez, Y Yuan, J Huang, AJ Hume, EL Suder, ...
bioRxiv, 2021
12021
Integration of heterogeneous experimental data improves global map of human protein complexes
J Lugo-Martinez, J Dengjel, Z Bar-Joseph, RF Murphy
Proceedings of the 10th ACM International Conference on Bioinformatics …, 2019
12019
Hypergraphlets Give Insight into Multi-Scale Organisation of Molecular Networks
T Gaudelet, NM Dognin, J Lugo-Martinez, P Radivojac, N Pzrulj
BOOK OF ABSTRACTS, 41, 2017
12017
Recovering single-cell expression profiles from spatial transcriptomics with scResolve
H Chen, YJ Lee, JA Ovando-Ricardez, L Rosas, M Rojas, AL Mora, ...
Cell Reports Methods, 2024
2024
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