ArticleCells2021
Quasar: Easy Machine Learning for Biospectroscopy.
Article in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 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
61 citing papers in PubMed.
- Towards Efficient Lignin Removal: A Box-Behnken Design Approach to Corncob Delignification Using Deep Eutectic Solvents.Molecules (Basel, Switzerland) · 2026Article
- Article
- Design of Experiments Investigation of Sericin Acetylation Using a Quantitative FTIR Approach.Polymers · 2026Article
- Revisiting the life cycle of Margalefidinium polykrikoides Group III.Journal of phycology · 2026Article
- Revealing the biomolecular response of glioma cells to helium, carbon and oxygen minibeam radiation therapy using synchrotron-based infrared microspectroscopy.The Analyst · 2026Article
- Biological and Biomedical Applications of Optical Photothermal Infrared Spectroscopy (O-PTIR).Applied spectroscopy · 2026Review
- Article
- Evaluating the performance of Fourier transform infrared spectroscopy for typing and outbreak investigation of methicillin-resistant and -susceptibleMicrobiology spectrum · 2026Article
- Fluoride detoxification in tea plants depends on aluminum and localization in the epidermis.Plant physiology · 2026Article
- External Validation and Local Adaptation of Estimated Pulse Wave Velocity Models in a Brazilian Population.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2026Article
- Adult Rat Offspring Exposed to THC during Gestation Exhibit Distinct Biomolecular Changes Identified by X-ray Fluorescence Imaging and Fourier Transform Infrared Spectroscopy in Cortico-Limbic Circuits.ACS chemical neuroscience · 2026Article
- Article
- Raman microspectroscopy for cervical cancer diagnosis: an ex-vivo cryopreserved tissue analysis.American journal of cancer research · 2026Article
- Exploring Fourier-Transform Infrared Microscopy for Scabies Mite Detection in Human Tissue Sections: A Preliminary Technical Feasibility Study.International journal of molecular sciences · 2025Article
- AXZ viewer: a web application to visualize unprocessed AFM-IR data.Bioinformatics (Oxford, England) · 2025Article
- Characterization of Rhesus Macaque Embryonic Stem Cells in Primed and Naïve-like Cell States of Pluripotency Using Fourier Transform Infrared (FTIR) Microspectroscopy.International journal of molecular sciences · 2025Article
- Infrared and Raman spectroscopy of blood plasma for rapid endometrial cancer detection.British journal of cancer · 2025Article
- Calcium-Dependent S100A8 Amyloid Fibril Formation via S100A1-Mediated Transient Interaction.ACS chemical neuroscience · 2025Article
- Dimyristoylphosphoethanolamine Addition During Chocolate Manufacture Promotes Proper Tempering under Simple Cooling Conditions without Shear.Crystal growth & design · 2025Article
- Effect of RNA on the supramolecular architecture of α-synuclein fibrils.Biophysical journal · 2025Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Data volumes collected in many scientific fields have long exceeded the capacity of human comprehension. This is especially true in biomedical research where multiple replicates and techniques are required to conduct reliable studies. Ever-increasing data rates from new instruments compound our dependence on statistics to make sense of the numbers. The currently available data analysis tools lack user-friendliness, various capabilities or ease of access. Problem-specific software or scripts freely available in supplementary materials or research lab websites are often highly specialized, no longer functional, or simply too hard to use. Commercial software limits access and reproducibility, and is often unable to follow quickly changing, cutting-edge research demands. Finally, as machine learning techniques penetrate data analysis pipelines of the natural sciences, we see the growing demand for user-friendly and flexible tools to fuse machine learning with spectroscopy datasets. In our opinion, open-source software with strong community engagement is the way forward. To counter these problems, we develop Quasar, an open-source and user-friendly software, as a solution to these challenges. Here, we present case studies to highlight some Quasar features analyzing infrared spectroscopy data using various machine learning techniques.
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.