A brief survey of text mining: Classification, clustering and extraction techniques
The amount of text that is generated every day is increasing dramatically. This tremendous
volume of mostly unstructured text cannot be simply processed and perceived by computers …
volume of mostly unstructured text cannot be simply processed and perceived by computers …
[HTML][HTML] Biomedical text mining and its applications in cancer research
F Zhu, P Patumcharoenpol, C Zhang, Y Yang… - Journal of biomedical …, 2013 - Elsevier
Cancer is a malignant disease that has caused millions of human deaths. Its study has a
long history of well over 100years. There have been an enormous number of publications on …
long history of well over 100years. There have been an enormous number of publications on …
Recent advances in network-based methods for disease gene prediction
Disease–gene association through genome-wide association study (GWAS) is an arduous
task for researchers. Investigating single nucleotide polymorphisms that correlate with …
task for researchers. Investigating single nucleotide polymorphisms that correlate with …
[HTML][HTML] Causal relationship extraction from biomedical text using deep neural models: A comprehensive survey
A Akkasi, MF Moens - Journal of biomedical informatics, 2021 - Elsevier
The identification of causal relationships between events or entities within biomedical texts
is of great importance for creating scientific knowledge bases and is also a fundamental …
is of great importance for creating scientific knowledge bases and is also a fundamental …
No evidence of a common DNA variant profile specific to world class endurance athletes
There are strong genetic components to cardiorespiratory fitness and its response to
exercise training. It would be useful to understand the differences in the genomic profile of …
exercise training. It would be useful to understand the differences in the genomic profile of …
A review of prostate cancer genome-wide association studies (GWAS)
S Benafif, Z Kote-Jarai, RA Eeles - Cancer Epidemiology, Biomarkers & …, 2018 - AACR
Prostate cancer is the most common cancer in men in Europe and the United States. The
genetic heritability of prostate cancer is contributed to by both rarely occurring genetic …
genetic heritability of prostate cancer is contributed to by both rarely occurring genetic …
Preclinical validation of therapeutic targets predicted by tensor factorization on heterogeneous graphs
Incorrect drug target identification is a major obstacle in drug discovery. Only 15% of drugs
advance from Phase II to approval, with ineffective targets accounting for over 50% of these …
advance from Phase II to approval, with ineffective targets accounting for over 50% of these …
GediNET for discovering gene associations across diseases using knowledge based machine learning approach
The most common approaches to discovering genes associated with specific diseases are
based on machine learning and use a variety of feature selection techniques to identify …
based on machine learning and use a variety of feature selection techniques to identify …
Mutated ATP10B increases Parkinson's disease risk by compromising lysosomal glucosylceramide export
S Martin, S Smolders, C Van den Haute… - Acta …, 2020 - Springer
Parkinson's disease (PD) is a progressive neurodegenerative brain disease presenting with
a variety of motor and non-motor symptoms, loss of midbrain dopaminergic neurons in the …
a variety of motor and non-motor symptoms, loss of midbrain dopaminergic neurons in the …
Genome-wide association studies suggest sex-specific loci associated with abdominal and visceral fat
YJ Sung, L Pérusse, MA Sarzynski… - International journal of …, 2016 - nature.com
Background: To identify loci associated with abdominal fat and replicate prior findings, we
performed genome-wide association (GWA) studies of abdominal fat traits: subcutaneous …
performed genome-wide association (GWA) studies of abdominal fat traits: subcutaneous …