A5005976355- Gene expression and cancer classification
- Computational Drug Discovery Methods
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Parasites and Host Interactions
- Vector-borne infectious diseases
- Mosquito-borne diseases and control
- Genetic Mapping and Diversity in Plants and Animals
- Virtual Reality Applications and Impacts
- Viral Infections and Vectors
- Teleoperation and Haptic Systems
- Tactile and Sensory Interactions
- Trypanosoma species research and implications
- Research on Leishmaniasis Studies
- Genetic and phenotypic traits in livestock
- Nuclear Receptors and Signaling
Tecnológico de Monterrey
2014-2020
National Institute of Genomic Medicine
2018-2019
The liver and the kidney are most common targets of chemical toxicity, due to their major metabolic excretory functions. However, since is directly involved in biotransformation, compounds many currently normally used drugs could affect it adversely. Most already labeled according FDA-approved labels using DILI-concern scale. Drug Induced Liver Injury (DILI) scale refers an adverse drug reaction. Many do not exhibit hepatotoxicity at early stages development, so important detect anomalies...
Technological advances have been the main driver of enhancing human–computer interaction and interactive simulations experienced exponential growth in recent years. However, visual auditory channels are usually only ones considered for educational even though sense touch is also an important one. Touch allows us to recognize interact with our surroundings. A common way develop a visuo-haptic simulation area systems by using graphic physics-based engine orchestrated haptic rendering...
Studies conducted in time series could be far more informative than those that only capture a specific moment time. However, when it comes to transcriptomic data, points are sparse creating the need for constant search methods capable of extracting information out experiments this kind. We propose feature selection algorithm embedded hidden Markov model applied gene expression course data on either single or even multiple biological conditions. For latter, simple case-control study features...
We report the case of a patient with cutaneous leishmaniasis who showed rapidly progressing ulcerative lesion after traveling to multiple countries where different Leishmania species are endemic. Diagnosis tropica, an exotic in Mexico was established by using serological and molecular tools.
Background
An intervention study conducted in young Mexican adults showed significant improvement of the supplementation with fish oil (FO) on glucose metabolism. Differences response among subjects were observed. Gene expression peripheral blood mononuclear cells (PBMC) has been used as a proxy effect nutritional interventions other tissues. We compared changes transcriptome PBMC induced by FO (2.7 g DHA + EPA during six weeks) contrasting responses fasting insulin concentrations. Participants largest...
Abstract Studies conducted in time series could be far more informative than those questioning at a specific moment time. However, when it comes to genomic data, points are sparse creating the need for constant search methods capable of extracting information out experiments this kind. We propose feature selection algorithm embedded hidden Markov model applied gene expression course data on either single or even multiple biological conditions. For latter, simple case-control study features...