ReviewJournal of cellular physiology2014
Big data bioinformatics.
Review in Journal of cellular physiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 65 papers, 1 of them a synthesis that pooled it.
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
65 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Use of International Classification of Diseases Codes to Identify Patients with Pancreatitis: A Systematic Review and Meta-analysis of Diagnostic Accuracy Studies.Clinical and translational gastroenterology · 2018Pooled it
- Multi-omics and bulk sequencing analyses reveal the roles of prognosis and immune aspects of super-enhancer-induced ZBED2 in pan-cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- PIC-SURE: an open-source platform for integrating clinical and genomic data.NPJ digital medicine · 2025Article
- Artificial intelligence in bioinformatics: a survey.Briefings in bioinformatics · 2025Review
- Diversity and Seasonal Abundance ofInsects · 2025Article
- Application of Bioinformatics and Machine Learning Tools in Food Safety.Current nutrition reports · 2025Review
- PmiR-SelectMolecular genetics and genomics : MGG · 2025Article
- Single-Molecule Bioelectronic Sensors with AI-Aided Data Analysis: Convergence and Challenges.Precision chemistry · 2024Review
- Robust identification of interactions between heat-stress responsive genes in the chicken brain using Bayesian networks and augmented expression data.Scientific reports · 2024Article
- A Practical Guide to Evaluating and Using Big Data in Digestive Disease Research.Gastroenterology · 2024Article
- Unified Resource Browser: An Interactive and Reconfigurable Web Framework for Biomedical Metadata Exploration, Visualization, and Management.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- FAIR privacy-preserving operation of large genomic variant calling format (VCF) data without download or installation.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024Article
- Integrative approaches based on genomic techniques in the functional studies on enhancers.Briefings in bioinformatics · 2023Review
- Recent Advances in DNA Nanomaterials.Nanomaterials (Basel, Switzerland) · 2023Review
- To metabolomics and beyond: a technological portfolio to investigate cancer metabolism.Signal transduction and targeted therapy · 2023Review
- G-SAIP: Graphical Sequence Alignment Through Parallel Programming in the Post-Genomic Era.Evolutionary bioinformatics online · 2023Article
- Article
- Application of Statistical Learning to Identify Omicron Mutations in SARS-CoV-2 Viral Genome Sequence Data From Populations in Africa and the United States.JAMA network open · 2022Article
- A serologic investigation of epizootic hemorrhagic disease virus in China between 2014 and 2019.Virologica Sinica · 2022Article
- A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation.BMC bioinformatics · 2022Article
5 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
Abstract
Recent technological advances allow for high throughput profiling of biological systems in a cost-efficient manner. The low cost of data generation is leading us to the "big data" era. The availability of big data provides unprecedented opportunities but also raises new challenges for data mining and analysis. In this review, we introduce key concepts in the analysis of big data, including both "machine learning" algorithms as well as "unsupervised" and "supervised" examples of each. We note packages for the R programming language that are available to perform machine learning analyses. In addition to programming based solutions, we review webservers that allow users with limited or no programming background to perform these analyses on large data compendia.
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.