ReviewInternational journal of molecular sciences2021
Artificial Intelligence in Bulk and Single-Cell RNA-Sequencing Data to Foster Precision Oncology.
Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed.
- Integrated single-cell and bulk transcriptomics reveals an IGF2BP3-driven metabolic circuitry in endometrial cancer.BMC cancer · 2026Article
- Enhancing cancer classification accuracy with a self-attention network using panel capture sequencing data.Briefings in bioinformatics · 2026Article
- Article
- Artificial Intelligence in Bulk RNA-Seq: Challenges and Potential Solutions.Computational and structural biotechnology journal · 2026Review
- Single Cell RNA Sequencing in Colorectal Cancer Immunology: Recent Updates, Application, and Emerging Challenges.Current molecular medicine · 2026Review
- Machine Learning Models for Cancer Research: A Narrative Review of Bulk RNA-Seq Applications.International journal of molecular sciences · 2025Review
- Single-cell RNA-sequencing of circulating tumour cells: A practical guide to workflow and translational applications.Cancer metastasis reviews · 2025Review
- Tumour Single-Cell Bioinformatics: From Immune Profiling to Molecular Dynamics.Journal of cellular and molecular medicine · 2025Review
- Emerging Techniques of Translational Research in Immuno-Oncology: A Focus on Non-Small Cell Lung Cancer.Cancers · 2025Review
- Research Trends and Dynamics in Single-cell RNA Sequencing for Musculoskeletal Diseases: A Scientometric and Visualization Study.International journal of medical sciences · 2025Review
- Cancer genomics and bioinformatics in Latin American countries: applications, challenges, and perspectives.Frontiers in oncology · 2025Review
- Fusion Genes in Myeloid Malignancies.Cancers · 2024Review
- Comprehensive analysis of single-cell and bulk RNA sequencing reveals postoperative progression markers for non-muscle invasive bladder cancer and predicts responses to immunotherapy.Discover oncology · 2024Article
- Single-Cell RNA Sequencing: Technological Progress and Biomedical Application in Cancer Research.Molecular biotechnology · 2024Review
- Emerging applications of single-cell profiling in precision medicine of atherosclerosis.Journal of translational medicine · 2024Review
- Advancements in technology for characterizing the tumor immune microenvironment.International journal of biological sciences · 2024Review
- Progress of the "Molecular Informatics" Section in 2022.International journal of molecular sciences · 2023Article
- Artificial Intelligence-Assisted Transcriptomic Analysis to Advance Cancer Immunotherapy.Journal of clinical medicine · 2023Review
- Integrated COVID-19 Predictor: Differential expression analysis to reveal potential biomarkers and prediction of coronavirus using RNA-Seq profile data.Computers in biology and medicine · 2022Article
- Editorial of Special Issue "Deep Learning and Machine Learning in Bioinformatics".International journal of molecular sciences · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Artificial intelligence, or the discipline of developing computational algorithms able to perform tasks that requires human intelligence, offers the opportunity to improve our idea and delivery of precision medicine. Here, we provide an overview of artificial intelligence approaches for the analysis of large-scale RNA-sequencing datasets in cancer. We present the major solutions to disentangle inter- and intra-tumor heterogeneity of transcriptome profiles for an effective improvement of patient management. We outline the contributions of learning algorithms to the needs of cancer genomics, from identifying rare cancer subtypes to personalizing therapeutic treatments.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.