Qian's article "scInTime: A Computational Method Leveraging Single-Cell Trajectory and Gene Special Issue " Single-Cell Bioinformatics and Machine Learning" has been published in our open access journal Genes (ISSN 2073-4425).
Integrated single-cell transcriptome data analysis" published in ImmunoInformatics is Qian's article "Association of pyroptosis and severeness of COVID-19 as revealed by Cai speaks at FutureTox V, Chapel Hill, NC. Qian wins the Flash Talk Award (1st Place) in the 2022 CVMBS Trainee Research Symposium. Cai speaks at the Southeast Texas Evolutionary Genetics and Genomics (STEGG) 2022 Symposium.
Qian starts first intern in Bristol Myers Squibb. We are hiring! See PhD Position in Machine Learning and Single-Cell Biology. Quantum gene regulatory networks preprint Model in the seminar Experiences in Scientific Research Processes hosted by Universidad Model in the 2nd Cycle of International Conferences about hosted by Universidad Mayorĭe San Simon (Bolivia) and University of Cincinnati (USA). Thanks, TAMIDS! Cristhian presents the quantum GRN Gene regulatory network." Yongjian receives the travel award provided by Texas A&M Institute of Data Science Graduate Travel Grants Program. Graph autoencoder based virtual knockout tool for gene function predictions via single-cell Medicine ( ICIBM 2022) on "GenKI: a variational Yongjian speaks at the International Conference on Intelligent Biology and Qian starts working as an intern in Johnson & Johnson. Cai speaks at the Single Cell Omics Data Workshop at BioScience Research Collaborative. AgriLife E-Newsletter: AgriLife Research-led study examines nonalcoholic fatty liver disease. Cai speaks at the ICSB 2022, Berlin, Germany. Cai speaks at the Czech University of Life Sciences Prague (CZU) in Budova Tropického Zemědělství. Cai presents at the 3rd GCC Single Cell Omics Symposium. Yongjian speaks at the TAMIDS 2022 Scientific Machine Learning (SciML) Workshop. $1.19 million grant will leverage single-cell sequencing technology. Yongjian publishes research article describing scTenifoldXct at Cell Systems. Cai starts teaching VIBS675/689 - Single-Cell Data Analysis via Machine Learning. FOX 44 News: Grant to assist A&M researchers in developing cancer drug. We are generously supported by the CPRIT RP230204 to create and run a single cell 'omics core. Cai speaks at the Texas Symposium on Critical Topics in Immunology, Texas A&M Hotel and Conference Center, College Station, Texas. It is under the area of Statistics and Bioinformatics competency ( ). The GENE Executive Committee approved VIBS 675: Single-cell Data Analysis via Machine Learning as a GENE elective.
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Cai speaks at ASN 2023, Lexington, KY.ĭownload full program book. Yongjian attends RECOMB 2023, Istanbul, Turkey.Ĭheck out Dr. Yongjian publishes Gene Knockout Inference ( GenKI) at Cai speaks at Texas A&M Cancer Research Symposium at The George in Century Square.
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