Lana X Garmire

9PUBLICATIONS
15CO-AUTHORS
Deep learningGene expression (incl. microarray and other genome-wide approaches)Psychosocial aspects of childbirth and perinatal mental healthGenomics and transcriptomicsPredictive and prognostic markers
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Publications (9)

|Aug 24, 2026
HisToSpatialCNV: an interpretable deep learning method predicting spatial copy number variations from histopathology images.

|Jan 19, 2026
Adding highly variable genes to spatially variable genes can improve cell type clustering performance in spatial transcriptomics data.

Yijun Li, Stefan Stanojevic, Bing He

|Aug 14, 2024
Five-Feature Models to Predict Preeclampsia Onset Time From Electronic Health Record Data: Development and Validation Study.

Hailey K Ballard, Xiaotong Yang, Aditya D Mahadevan

|Feb 19, 2024
Challenges and perspectives in computational deconvolution of genomics data.

Lana X Garmire, Yijun Li, Qianhui Huang

|Dec 19, 2023
Deep learning and transfer learning identify breast cancer survival subtypes from single-cell imaging data.

Shashank Yadav, Shu Zhou, Bing He

|Mar 20, 2021
Placentas delivered by pre-pregnant obese women have reduced abundance and diversity in the microbiome.

Paula A Benny, Fadhl M Al-Akwaa, Corbin Dirkx

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Frequent Collaborators

1 joint publications

Sarah A Teichmann

1 joint publications

Naftali Kaminski

1 joint publications

Matteo Pellegrini

1 joint publications

Quan Nguyen