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Papers Archive: Biomedical Discovery

2022

Adversarial generation of gene expression data (Bioinformatics, February 2022)

Guest Editorial: Non-Euclidean Machine Learning (IEEE Transactions on Pattern Analysis and Machine Intelligence, February 2022)

SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino Acids (Pharmaceutics, January 2022)

Early downregulation of hsa-miR-144-3p in serum from drug-naïve Parkinson’s disease patients (Nature: Scientific Reports, January 2022)

Voices on technology: The molecular biologists’ ever-expanding toy box (Molecular Cell, January 2022)

2021
  • Machine learning to guide the use of adjuvant therapies for breast cancer (Nature Machine Intelligence, June 2021)
  • Stepwise pathogenic evolution of Mycobacterium abscessus (Science Magazine, April 2021)
  • Waist circumference and a body shape index and prostate cancer risk and mortality (Cancer Medicine, March 2021)
  • Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and End Results (SEER) database (The Lancet, Feb 2021)
2020
  • Association Between Depressive Symptoms and Incident Cardiovascular Diseases (JAMA, Dec 2020)
  • Cells of the adult human heart (Nature, Sept 2020)
  • SARS-CoV-2 entry factors are highly expressed in nasal epithelial cells together with innate immune genes (Nature Medicine, April 2020)
2019
  • Body mass index and all cause mortality in HUNT and UK Biobank studies: linear and non-linear mendelian randomisation analyses (BMJ, March 2019)

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