Dr. Wan gives a talk and Hanyu presents a poster:”WIMOAD: Weighted Integration of Multi-omics data for Alzheimer’s Disease (AD) Diagnosis” at 2024 ICIBM Symposium.
Mengtao presents poster: “iS3RGs:Discriminating diverse medulloblastoma subtypes by leveraging heterogenous transcriptome data with batch effects” and Lusheng presents poster: “AttentionAML: An Attention-Based Deep Learning Model for Identifying Acute Myeloid Leukemia Subtypes” at 2024 PCRG Symposium.
Eswar presents a poster: “Glioblastoma Subtyping using Internal Gene Expression Ranks, Ensemble Random Projection, and Deep Learning”.
Shibiao is invited to give a featured talk for the Symposium on ML/AI Applications in Biology and Medicine. Lusheng, Mengtao and Hanyu respectively present posters on cancer disparities, antimicrobial peptides, and B-ALL subtype identification.
Lusheng presents two posters: “RanBALL: Identifying B-cell acute lymphoblastic leukemia subtypes based on an ensemble random projection model” and “Reducing health disparities for prostate adenocarcinoma by integrating multi-omics data via a multi-modal transfer learning approach” at AACR Annual Meeting 2024.
Lusheng is invited to present “B-Cell Acute Lymphoblastic Leukemia Subtype Identification with An Ensemble Random Projection-Based Machine Learning Model” and “Integrating Multi-Omics Data by a Multi-Modal Transfer Learning Model to Reduce Healthcare Disparities for Kidney Renal Clear Cell Carcinoma” during the CHRI Scientific Conference.
Shibiao, as an invited keynote speaker, gives a talk for The 2023 Midlands Society of Physiological Sciences (MSPS) Annual Meeting, with the title “Machine Learning for Processing Large-Scale Biological Data”. The link is here .
Lusheng presents poster: “RanBALL: an Ensemble Random Projection-Based Model for Identifying B-Cell Acute Lymphoblastic Leukemia Subtypes” at PCRG 2023.