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AI for cell-free RNA (cfRNA)

I. cfRNA - Basics

Basic cfRNA Features

(1) Add a preset of mRNAs+lncRNAs(RAG):

  • ✅ 2025 Nature - An ultrasensitive method for detection of cell-free RNA

(2) Add Microbial RNAs:

  • 2025 Nature Biotechnology - Modifications of microbiome-derived cell-free RNA in plasma discriminates colorectal cancer samples
  • 2022 eLife - Cancer type classification using plasma cell-free RNAs derived from human and microbes [Lu Lab Paper]

(3) Add Fragmented RNAs (and sncRNAs):

  • 2025 Genome Biology - Peak analysis of cell-free RNA finds recurrently protected narrow regions with clinical potential [Lu Lab Paper]

(4) Add TE-RNAs:

  • 2023 Nature BME - Nature Profiling of repetitive RNA sequences in the blood plasma of patients with cancer

II. Advanced Projects/Directions

1. cfRNA Modeling

2. cfRNA Features

Fragment Representation

  • 2026 preprint - Semantic fragment representations for coordinate-free analysis of genomics data
  • ✅ Fragmentome (DELFI): 2019 Nature - Genome-wide cell-free DNA fragmentation in patients with cancer

Fragment's End-motif

  • ✅ [end-motif ] 2023 PNAS - Fragmentation landscape of cell-free DNA revealed by deconvolutional analysis of end motifs

MISC RNA Variances (AS, APA, chimeric, etc):

  • 2023 Cell Rep Med. - Cell-free multi-omics analysis reveals potential biomarkers in gastrointestinal cancer patients’ blood

3. cfRNA - microbiome in blood

Virome & AI

  • 👍 2025 Nature Genetics - Blood DNA virome associates with autoimmune diseases and COVID-19
  • 👍 2024 Cell - Using Artificial Intelligence to Document the Hidden RNA Virosphere

cfRNA-microbial reads

  • 2025 Nature Biotechnology - Modifications of microbiome-derived cell-free RNA in plasma discriminates colorectal cancer samples
  • 👍 2022 eLife - Cancer Type Classification Using Plasma Cell Free RNAs Derived from Human and Microbes [Lu Lab Paper]
  • 2020 Nature - RETRACTED ARTICLE: Microbiome analyses of blood and tissues suggest cancer diagnostic approach
    • concerns: Gihawi, A. et al. Major data analysis errors invalidate cancer microbiome findings. mBio 14, e01607–23 (2023)
    • response: Sepich-Poore, G. D. et al. Robustness of cancer microbiome signals over a broad range of methodological variation. Oncogene 43, 1127–1148 (2024).

4. Cell-of-origin (classify type of cancer)

  • 2022 Nature Biotech - Cell types of origin of the cell-free transcriptome
  • 2021 Nature - MicroRNA sequence codes for small extracellular vesicle release and cellular retention