A5012190254- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- RNA Research and Splicing
- Gene expression and cancer classification
- CRISPR and Genetic Engineering
- Genomics and Phylogenetic Studies
- Infant Development and Preterm Care
- Fire Detection and Safety Systems
- Autonomous Vehicle Technology and Safety
- Genomics and Rare Diseases
- Genetics, Bioinformatics, and Biomedical Research
- Neonatal Respiratory Health Research
- Video Surveillance and Tracking Methods
- Scientific Computing and Data Management
- Neonatal and fetal brain pathology
- Biomedical and Engineering Education
- Single-cell and spatial transcriptomics
- Cancer Genomics and Diagnostics
- Genomic variations and chromosomal abnormalities
University of Colorado Boulder
2024
Rice University
2020-2021
University of Nebraska–Lincoln
2017-2019
Beijing University of Posts and Telecommunications
2017
The lack of awareness the traffic accident ahead would probably cause serious congestion or more secondary accidents. Usually, detection is to use equipment in vehicles detect accidents and send information related people by SMS containing texts only, which expensive, inconvenient cannot avoid This paper proposes an intelligent system based on Mobile Edge Computing with proximity, low latency computing vehicle identification. Our utilizes common smartphones obtain acceleration speed,...
Background and Objective : The emergence of the nonnutritive suck (NNS) pattern in preterm infants reflects integrity brain is used by clinicians neonatal intensive care unit (NICU) to assess feeding readiness oromotor development. A critical need exists for an integrated software platform that provides NNS signal preprocessing, adaptive waveform discrimination, feature detection, batch processing big data sets across multiple NICU sites. Thus, goal was develop describe a cross-platform...
MicroRNA regulation is fundamentally responsible for fine-tuning the whole gene network in human and has been implicated most physiological pathological conditions. Studying regulatory impact of microRNA on various cellular disease processes resulted numerous computational tools that investigate microRNA-mRNA interactions through prediction static binding site highly dependent sequence pairing. However, what hindered practical use such target interplay between competing cooperative...
The progress and utility of synthetic biology is currently hindered by the lengthy process studying literature replicating poorly documented work. Reconstruction crucial design information through post hoc curation highly noisy error-prone. To combat this, author participation during crucial. encourage without overburdening them, an ML-assisted tool called SeqImprove has been developed. Using named entity recognition, normalization, sequence matching, creates machine-accessible data metadata...
<ns3:p>In October 2020, 62 scientists from nine nations worked together remotely in the Second Baylor College of Medicine & DNAnexus hackathon, focusing on different related topics Structural Variation, Pan-genomes, and SARS-CoV-2 research. </ns3:p><ns3:p> The overarching focus was to assess current status field identify remaining challenges. Furthermore, how combine strengths interests drive research method development forward. Over four days, eight groups each designed developed new...
MicroRNAs regulate virtually the whole gene network in human body and have been implicated most physiological pathological conditions including cancers. Understanding precise mechanisms of microRNA-mRNA interaction is fundamentally important to elucidate roles miRNA regulating various cellular disease developmental stages. Numerous computational methods developed for target prediction, mostly focusing on static binding prediction highly dependent sequence-pairing interactions. However,...
<ns3:p>In October 2020, 62 scientists from nine nations worked together remotely in the Second Baylor College of Medicine & DNAnexus hackathon, focusing on different related topics Structural Variation, Pan-genomes, and SARS-CoV-2 research. </ns3:p><ns3:p> The overarching focus was to assess current status field identify remaining challenges. Furthermore, how combine strengths interests drive research method development forward. Over four days, eight groups each designed developed new...
<ns3:p>In October 2019, 46 scientists from around the world participated in first National Center for Biotechnology Information (NCBI) Structural Variation (SV) Codeathon at Baylor College of Medicine. The charge this annual working session was to identify ongoing challenges topics SV and graph genomes, response design reliable methods facilitate their study. Over three days, seven groups each designed developed new open-sourced improve bioinformatic analysis genomic SVs represented...