metadata
tags:
- spacy
- token-classification
language:
- en
widget:
- text: >-
In recent years, fatty acid binding protein 5 (FABP5), also known as fatty
acid transporter, has been widely researched with the help of modern
genetic technology. Emerging evidence suggests its critical role in
regulating lipid transport, homeostasis, and metabolism. Its involvement
in the pathogenesis of various diseases such as metabolic syndrome, skin
diseases, cancer, and neurological diseases is the key to understanding
the true nature of the protein. This makes FABP5 be a promising component
for numerous clinical applications. This review has summarized the most
recent advances in the research of FABP5 in modulating cellular processes,
providing an in-depth analysis of the protein’s biological properties,
biological functions, and mechanisms involved in various diseases. In
addition, we have discussed the possibility of using FABP5 as a new
diagnostic biomarker and therapeutic target for human diseases, shedding
light on challenges facing future research.
model-index:
- name: en_BiomedNER_EuropePMC
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.871384947
- name: NER Recall
type: recall
value: 0.9057132188
- name: NER F Score
type: f_score
value: 0.8882175227
Bio literature Named Entity Recognition using microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext transformer model. The model recognises the following entities:
| CD | Chemical/Drugs | | DS | Diseases | | GP | Gene/Protein | | OG | Organism |
Feature | Description |
---|---|
Name | en_BiomedNER_EuropePMC |
Version | 1.0.0 |
spaCy | >=3.2.4,<3.3.0 |
Default Pipeline | transformer , ner |
Components | transformer , ner |
Vectors | 0 keys, 0 unique vectors (0 dimensions) |
Sources | n/a |
License | n/a |
Author | Santosh Tirunagari |
Label Scheme
View label scheme (4 labels for 1 components)
Component | Labels |
---|---|
ner |
CD , DS , GP , OG |
Accuracy
Type | Score |
---|---|
ENTS_F |
88.82 |
ENTS_P |
87.14 |
ENTS_R |
90.57 |
TRANSFORMER_LOSS |
92291.81 |
NER_LOSS |
109755.03 |