Jose Lugo-Martinez
Jose Lugo-Martinez
Email verificata su andrew.cmu.edu - Home page
Titolo
Citata da
Citata da
Anno
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
6032010
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
3242013
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
2262014
MutPred2: inferring the molecular and phenotypic impact of amino acid variants
V Pejaver, J Urresti, J Lugo-Martinez, KA Pagel, GN Lin, HJ Nam, M Mort, ...
BioRxiv, 134981, 2017
1172017
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
412018
Dynamic interaction network inference from longitudinal microbiome data
J Lugo-Martinez, D Ruiz-Perez, G Narasimhan, Z Bar-Joseph
Microbiome 7 (1), 1-14, 2019
312019
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), 1-13, 2020
262020
Generalized graphlet kernels for probabilistic inference in sparse graphs
J Lugo-Martinez, P Radivojac
Network Science 2 (2), 254-276, 2014
192014
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
122016
Classification in biological networks with hypergraphlet kernels
J Lugo-Martinez, P Radivojac
arXiv preprint arXiv:1703.04823, 2017
72017
Ultra high-dimensional nonlinear feature selection for big biological data
M Yamada, J Tang, J Lugo-Martinez, E Hodzic, R Shrestha, A Saha, ...
arXiv preprint arXiv:1608.04048, 2016
32016
Reconstructing SARS-CoV-2 response signaling and regulatory networks
J Ding, J Lugo-Martinez, Y Yuan, DN Kotton, Z Bar-Joseph
BioRxiv, 2020
22020
Dynamic Bayesian networks for integrating multi-omics time-series microbiome data
D Ruiz-Perez, J Lugo-Martinez, N Bourguignon, K Mathee, B Lerner, ...
bioRxiv, 835124, 2019
22019
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
12021
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), e01105-20, 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
FIU Digital Common s
J Lugo-Martinez, D Ruiz-Perez, G Narasimhan, Z Bar-Joseph
2019
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
2017
Flexible kernel functions for learning on graphs and hypergraphs
J Lugo-Martinez
Indiana University, 2016
2016
The Molecular Ecologist
JF Denton, J Lugo-Martinez, AE Tucker, DR Schrider, WC Warren
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20