Gustavo Sganzerla Martinez

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 17

Top Topics

Dna Methylation

Circulating Tumor

Infectious Diseases

Machine Learning

Top Venues

Journal of chemical information and modeling

The protein journal

NAR genomics and bioinformatics

This page only lists publications with an associated author ORCID identifier.

Publications

Gustavo Sganzerla Martinez, Alexis Garduno, Ali Toloue Ostadgavahi, Benjamin Hewins, Mansi Dutt, Anuj Kumar, Ignacio Martín-Loeches, David J Kelvin
Identification of Marker Genes in Infectious Diseases from ScRNA-seq Data Using Interpretable Machine Learning. International journal of molecular sciences 25 (11) (2024)
Gustavo Sganzerla Martinez, Mansi Dutt, David J Kelvin, Anuj Kumar
PoxiPred: An Artificial-Intelligence-Based Method for the Prediction of Potential Antigens and Epitopes to Accelerate Vaccine Development Efforts against Poxviruses. Biology 13 (2) (2024)
Subhojit Paul, Kaushika Olymon, Gustavo Sganzerla Martinez, Sharmilee Sarkar, Venkata Rajesh Yella, Aditya Kumar
MLDSPP: Bacterial Promoter Prediction Tool Using DNA Structural Properties with Machine Learning and Explainable AI. Journal of chemical information and modeling 64 (7) (2024)
Gustavo Sganzerla Martinez, Mansi Sharma, Anuj Kumar, David J Kelvin
Multiple Protein Profiler 1.0 (MPP): A Webserver for Predicting and Visualizing Physiochemical Properties of Proteins at the Proteome Level. The protein journal (2024)
Gustavo Sganzerla Martinez, Mansi Dutt, David J Kelvin, Anuj Kumar
PoxiPred: An Artificial-Intelligence-Based Method for the Prediction of Potential Antigens and Epitopes to Accelerate Vaccine Development Efforts against Poxviruses. Biology 13 (2) (2024)
Gustavo Sganzerla Martinez, Mansi Sharma, Anuj Kumar, David J Kelvin
Multiple Protein Profiler 1.0 (MPP): A Webserver for Predicting and Visualizing Physiochemical Properties of Proteins at the Proteome Level. The protein journal 43 (4) (2024)
Gustavo Sganzerla Martinez, Ernesto Pérez-Rueda, Anuj Kumar, Mansi Sharma, Cinthia Rodríguez Maya, Leonardo Ledesma-Dominguez, Pedro Lenz Casa, Aditya Kumar, Scheila de Avila E Silva, David J Kelvin
CDBProm: the Comprehensive Directory of Bacterial Promoters. NAR genomics and bioinformatics 6 (1) (2024)
Gustavo Sganzerla Martinez, Mansi Sharma, Anuj Kumar, David J Kelvin
Multiple Protein Profiler 1.0 (MPP): A Webserver for Predicting and Visualizing Physiochemical Properties of Proteins at the Proteome Level. The protein journal 43 (4) (2024)
Gustavo Sganzerla Martinez, Ernesto Pérez-Rueda, Anuj Kumar, Mansi Sharma, Cinthia Rodríguez Maya, Leonardo Ledesma-Dominguez, Pedro Lenz Casa, Aditya Kumar, Scheila de Avila E Silva, David J Kelvin
CDBProm: the Comprehensive Directory of Bacterial Promoters. NAR genomics and bioinformatics 6 (1) (2024)
Gustavo Sganzerla Martinez, Alexis Garduno, Ali Toloue Ostadgavahi, Benjamin Hewins, Mansi Dutt, Anuj Kumar, Ignacio Martín-Loeches, David J Kelvin
Identification of Marker Genes in Infectious Diseases from ScRNA-seq Data Using Interpretable Machine Learning. International journal of molecular sciences 25 (11) (2024)
Gustavo Sganzerla Martinez, Mansi Dutt, David J Kelvin, Anuj Kumar
PoxiPred: An Artificial-Intelligence-Based Method for the Prediction of Potential Antigens and Epitopes to Accelerate Vaccine Development Efforts against Poxviruses. Biology 13 (2) (2024)
Subhojit Paul, Kaushika Olymon, Gustavo Sganzerla Martinez, Sharmilee Sarkar, Venkata Rajesh Yella, Aditya Kumar
MLDSPP: Bacterial Promoter Prediction Tool Using DNA Structural Properties with Machine Learning and Explainable AI. Journal of chemical information and modeling (2024)
Gustavo Sganzerla Martinez, Mansi Sharma, Anuj Kumar, David J Kelvin
Multiple Protein Profiler 1.0 (MPP): A Webserver for Predicting and Visualizing Physiochemical Properties of Proteins at the Proteome Level. The protein journal 43 (4) (2024)
Subhojit Paul, Kaushika Olymon, Gustavo Sganzerla Martinez, Sharmilee Sarkar, Venkata Rajesh Yella, Aditya Kumar
MLDSPP: Bacterial Promoter Prediction Tool Using DNA Structural Properties with Machine Learning and Explainable AI. Journal of chemical information and modeling 64 (7) (2024)
Subhojit Paul, Kaushika Olymon, Gustavo Sganzerla Martinez, Sharmilee Sarkar, Venkata Rajesh Yella, Aditya Kumar
MLDSPP: Bacterial Promoter Prediction Tool Using DNA Structural Properties with Machine Learning and Explainable AI. Journal of chemical information and modeling 64 (7) (2024)
Gustavo Sganzerla Martinez, David J Kelvin
Convergence in Mobility Data Sets From Apple, Google, and Meta. JMIR public health and surveillance 9 (2023)
Gustavo Sganzerla Martinez, Sharmilee Sarkar, Aditya Kumar, Ernesto Pérez-Rueda, Scheila de Avila E Silva
Characterization of promoters in archaeal genomes based on DNA structural parameters. MicrobiologyOpen 10 (5) (2022)