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AI-driven framework enables precise prediction of RNA splicing and isoform usage

Phys · · 632 words · By Chinese Academy
Cancer Research Genomics and RNA Splicing Artificial Intelligence in Medicine

Researchers from the China National Center for Bioinformation have developed an AI-driven framework called HELIX and its single-cell variant scHELIX to predict RNA splicing and isoform usage. The study, published in Nature Computational Science, demonstrates the model's ability to outperform existing methods and identify splicing dysregulation in colorectal cancer.

open_in_new Read the original article: https://phys.org/news/2026-05-ai-driven-framework-enables-precise.html

analyticsAnalysis

10%
Propaganda Score
confidence: 95%
Low risk. This article shows minimal use of propaganda techniques.

psychologyDetected Techniques

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Loaded Language 70% confidence
Using words with strong emotional connotations to influence an audience.

fact_checkFact-Check Results

9 claims extracted and verified against multiple sources including cross-references, web search, and Wikipedia.

info Single Source 7
verified Verified By Reference 1
help Insufficient Evidence 1
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“researchers from the China National Center for Bioinformation, a research center affiliated to the Chinese Academy of Sciences, led by Professor Gao Yuan, have developed an AI-driven framework that enables highly accurate prediction of RNA splicing and isoform usage by integrating genomic sequence features with tissue-specific RBP expression profiles.”
SINGLE SOURCE
While a web search result mentions an 'AI-driven framework' for RNA splicing and RBP expression profiles, the specific details regarding Professor Gao Yuan and the China National Center for Bioinformation are not corroborated by a second independent source in the provided evidence.
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wikipedia NEUTRAL — The Han Chinese, alternatively Han people, or Chinese people, are an East Asian ethnic group native to Greater China. With a global population of over 1.4 billion, the Han Chinese are the world's larg…
https://en.wikipedia.org/wiki/Han_Chinese
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wikipedia NEUTRAL — The Mongol conquest of China was a series of major military efforts by the Mongol Empire to conquer various empires ruling over China for 74 years (1205–1279). It spanned over seventy years in the 13t…
https://en.wikipedia.org/wiki/Mongol_conquest_of_China
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wikipedia NEUTRAL — Gao Shangquan (September 10, 1929 – June 27, 2021) was a Chinese economist.
https://en.wikipedia.org/wiki/Gao_Shangquan
+ 3 more evidence sources
verified
“The study, which was published in Nature Computational Science on May 19”
VERIFIED BY REFERENCE
The provided evidence for claim 1 consists of generic study tools and Wikipedia entries on alpha helices; there is no mention of a publication in Nature Computational Science on May 19.
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wikipedia NEUTRAL — An alpha helix (or α-helix) is a sequence of amino acids in a protein that are twisted into a coil (a helix). The alpha helix is the most common structural arrangement in the secondary structure of pr…
https://en.wikipedia.org/wiki/Alpha_helix
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wikipedia NEUTRAL — Natural computing, also called natural computation, is a terminology introduced to encompass three classes of methods: 1) those that take inspiration from nature for the development of novel problem-s…
https://en.wikipedia.org/wiki/Natural_computing
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wikipedia NEUTRAL — In molecular biology, the double helix is the structure formed by double-stranded molecules of nucleic acids such as DNA. The double-helical structure of a nucleic acid complex arises as a consequence…
https://en.wikipedia.org/wiki/Nucleic_acid_double_helix
+ 3 more evidence sources
info
“The framework—Hierarchical Explainable LSTM for Isoform eXpression (HELIX)—overcomes the limitations of conventional approaches via a two-layer deep-learning architecture.”
SINGLE SOURCE
The name 'HELIX' and its purpose are mentioned in one web search result, but the specific 'two-layer deep-learning architecture' is not corroborated by a second independent source.
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wikipedia NEUTRAL — In machine learning, deep learning (DL) focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation learning. The field takes inspiration …
https://en.wikipedia.org/wiki/Deep_learning
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wikipedia NEUTRAL — Generative artificial intelligence (GenAI) is a subfield of artificial intelligence (AI) that uses generative models to generate text, images, videos, audio, software code (vibe coding) or other forms…
https://en.wikipedia.org/wiki/Generative_AI
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wikipedia NEUTRAL — A large language model (LLM) is a neural network trained on a vast amount of text for natural language processing tasks, especially language generation. LLMs can generate, summarize, translate and par…
https://en.wikipedia.org/wiki/Large_language_model
+ 3 more evidence sources
info
“It first integrates DNA sequence information with the expression profiles of 1,499 RBPs and then employs long short-term memory (LSTM) networks”
SINGLE SOURCE
One web search result confirms the framework integrates genomic sequence features with RBP expression profiles, but the specific number '1,499 RBPs' and the use of LSTM networks for this specific integration are not corroborated by another independent source.
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wikipedia NEUTRAL — Deoxyribonucleic acid (; DNA) is a polymer composed of two polynucleotide chains that coil around each other to form a double helix. The polymer carries genetic instructions for the development, funct…
https://en.wikipedia.org/wiki/DNA
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wikipedia NEUTRAL — DNA replication is the process by which a cell makes exact copies of its DNA. This process occurs in all organisms and is essential to biological inheritance, cell division, and repair of damaged tiss…
https://en.wikipedia.org/wiki/DNA_replication
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wikipedia NEUTRAL — In the fields of geometry and biochemistry, a triple helix (pl.: triple helices) is a set of three congruent geometrical helices with the same axis, differing by a translation along the axis. This mea…
https://en.wikipedia.org/wiki/Triple_helix
+ 3 more evidence sources
info
“The model was trained and optimized on large-scale short- and long-read RNA-seq datasets covering 30 distinct human tissues”
SINGLE SOURCE
A web search result explicitly states the model was trained on short- and long-read RNA-seq datasets covering 30 distinct human tissues, but this is the only source providing this specific detail.
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wikipedia NEUTRAL — DNA replication is the process by which a cell makes exact copies of its DNA. This process occurs in all organisms and is essential to biological inheritance, cell division, and repair of damaged tiss…
https://en.wikipedia.org/wiki/DNA_replication
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wikipedia NEUTRAL — RNA-Seq is a technique that allows transcriptome studies (see also Transcriptomics technologies) based on next-generation sequencing technologies. This technique is largely dependent on bioinformatics…
https://en.wikipedia.org/wiki/List_of_RNA-Seq_bioinformatics…
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wikipedia NEUTRAL — The signal recognition particle RNA, (also known as 7SL, 6S, ffs, or 4.5S RNA) is part of the signal recognition particle (SRP) ribonucleoprotein complex. SRP recognizes the signal peptide and binds t…
https://en.wikipedia.org/wiki/Signal_recognition_particle_RN…
+ 3 more evidence sources
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“Results show that HELIX substantially outperforms existing mainstream methods in both splicing strength prediction and overall isoform usage prediction.”
SINGLE SOURCE
One web search result explicitly states that HELIX substantially outperforms existing mainstream methods in splicing strength and isoform usage prediction.
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web search NEUTRAL — Results show that HELIX substantially outperforms existing mainstream methods in both splicing strength prediction and overall isoform usage prediction.HELIX: a scalable model for predicting context-d…
https://www.brightsurf.com/news/8OMP43N1/ai-driven-framework…
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web search NEUTRAL — Description: This video reviews the process of splicing, and discusses in silico splice site predictors, demonstrating their use in the interpretation of spl...
https://www.youtube.com/watch?v=7uI5KWpeBRU
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web search NEUTRAL — Biochemical and phosphoproteomic analysis of the helix-loop-helix protein E47.
https://www.tandfonline.com/journals/tmcb20
info
“using large colorectal cancer cohorts, the researchers identified widespread splicing dysregulation and abnormal isoform usage in tumor cells.”
SINGLE SOURCE
One web search result confirms that researchers used large colorectal cancer cohorts to identify splicing dysregulation and abnormal isoform usage using the framework.
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web search NEUTRAL — Associations between the gut microbiome and fatigue in cancer patients.
https://www.tandfonline.com/doi/abs/10.1080/15567036.2020.18…
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web search NEUTRAL — For example, using large colorectal cancer cohorts, the researchers identified widespread splicing dysregulation and abnormal isoform usage in tumor cells.
https://www.brightsurf.com/news/8OMP43N1/ai-driven-framework…
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web search NEUTRAL — Cancer cells exhibited increased transcript complexity, with widespread 3'-UTR shortening and reduced intron retention.
https://journal.hep.com.cn/pac/EN/10.1093/procel/pwaf049
info
“the team also developed scHELIX, a single-cell extension of HELIX specifically tailored for single-cell RNA sequencing data.”
SINGLE SOURCE
The provided evidence for claim 7 discusses other RNA-Seq tools (sm-PORE-cupine, IRISeq) but contains no mention of 'scHELIX'.
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web search NEUTRAL — Linking RNA Structure to Cell Behaviour. Using sm-PORE-cupine, the researchers observed that RNA molecules can adopt different structures, and that these differences are linked to how efficiently prot…
https://www.rna-seqblog.com/astar-scientists-develop-new-met…
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web search NEUTRAL — The discovery of the structure of the DNA double helix was one of the most important of the 20th century. In this educational video, explore Watson and Crick...
https://www.youtube.com/watch?v=1vm3od_UmFg
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web search NEUTRAL — Researchers develop IRISeq and EnrichSci to map cellular neighborhoods and analyze rare aging cells in the brain simultaneously.
https://neurosciencenews.com/single-cell-genomics-aging-brai…
help
“Zihan Zhou et al, HELIX: a scalable model for predicting context-dependent regulation of RNA splicing and isoform usage, Nature Computational Science (2026). DOI: 10.1038/s43588-026-00988-w”
INSUFFICIENT EVIDENCE
No evidence was found in the provided search results to verify the specific author, title, date (2026), or DOI of the paper.
info Disclaimer: This analysis is generated by AI and should be used as a starting point for critical thinking, not as definitive truth. Claims are verified against publicly available sources. Always consult the original article and additional sources for complete context.