Welcome to Wan Lab@UNMC

Machine Learning and Bioinformatics (MLAB) Lab

The Wan Lab in the Department of Genetics, Cell Biology and Anatomy (GCBA) at University of Nebraska Medical Center (UNMC) is focusing on machine learning, bioinformatics, and computational biology, especially in single-cell analysis, multi-omics analysis, spatial transcriptomics, cancer research, intelligent healthcare, and precision medicine. To unravel the mechanisms of molecular biological systems in which enormous amounts of heterogeneous data are usually involved, bioinformatics and machine learning are perfect tools. Besides collaborating with scientists in cancer biology, metabolism, immunology, pathology and developmental biology, our laboratory is mainly to develop artificial intelligence, machine learning and/or data science-based methods to tackle essential biomedical problems in genomics, transcriptomics, epigenetics, proteomics, metabolomics, and interactomes as well as medical imaging data and electronic health records (EHR) data.

We are looking for passionate new PhD students, Postdocs, and Master students to join our team (more info) !

News

11-15-2024
A collaboration research article preprint “Functional Connectivity Alterations in Cocaine Use Disorder: Insights from the Triple Network Model and the Addictions Neuroclinical Assessment Framework” is online at bioRxiv. The link is here.

11-06-2024
Shibiao is invited to be a Grant Reviewer for National Science Foundation (NSF) Graduate Research Fellowship Program for 2025 (NSF GRFP 2025)!

10-31-2024
An article titled “SAMP: Identifying Antimicrobial Peptides by an Ensemble Learning Model Based on Proportionalized Split Amino Acid Composition” is accepted for publication at the journal Briefings in Functional Genomics (IF 2.5). The link is here. Congratulations to Junxi, Mengtao and Andy!

10-30-2024
Navya Pavani Pachava joins our lab as a research intern. Welcome aboard!

10-29-2024
Sili Li joins our lab as a research intern. Welcome aboard!

10-23-2024
Shibiao is invited to be a Grant Reviewer for CQDM (Consortium Québécois sur la Découverte du Médicament, or Quebec Consortium for Drug Discovery) in Canada.

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