Results 11 to 20 of about 29,021,689 (318)
Biological data mining purports to extract useful knowledge from massive datasets gathered in biology, and in other related life sciences areas such as medicine and neuroscience. In the recent past, we have witnessed major transformations of these applied sciences into data-driven endeavors.
Zaki, Mohammed J. +2 more
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The Biological Data Sustainability Paradox
Biological data in digital form has become a, if not the, driving force behind innovations in biology, medicine, and the environment. No study and no model would be complete without access to digital data (including text) collected by others and available in public repositories.
Terence R. Johnson, Philip E. Bourne
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Technologies for integrating biological data [PDF]
The process of building a new database relevant to some field of study in biomedicine involves transforming, integrating and cleansing multiple data sources, as well as adding new material and annotations. This paper reviews some of the requirements of a general solution to this data integration problem.
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Bacteriophage genomes represent an enormous level of genetic diversity and provide considerable potential to acquire new insights about viral genome evolution. In this study, the genome sequences of sixteen Bacillus-infecting bacteriophages were explored
Ahmed Ismail +6 more
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Machine learning to analyse omic-data for COVID-19 diagnosis and prognosis
Background With the global spread of COVID-19, the world has seen many patients, including many severe cases. The rapid development of machine learning (ML) has made significant disease diagnosis and prediction achievements.
Xuehan Liu +3 more
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Biofilms preserve the transmissibility of a multi-drug resistance plasmid
Self-transmissible multidrug resistance (MDR) plasmids are a major health concern because they can spread antibiotic resistance to pathogens. Even though most pathogens form biofilms, little is known about how MDR plasmids persist and evolve in biofilms.
Genevieve A. Metzger +8 more
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National and Transnational Security Implications of Asymmetric Access to and Use of Biological Data
Biology and biotechnology have changed dramatically during the past 20 years, in part because of increases in computational capabilities and use of engineering principles to study biology.
Kavita M. Berger, Phyllis A. Schneck
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Significant subgraph mining for neural network inference with multiple comparisons correction
We describe how the recently introduced method of significant subgraph mining can be employed as a useful tool in neural network comparison. It is applicable whenever the goal is to compare two sets of unweighted graphs and to determine differences in ...
Aaron J. Gutknecht, Michael Wibral
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Deep Learning in Mining Biological Data [PDF]
AbstractRecent technological advancements in data acquisition tools allowed life scientists to acquire multimodal data from different biological application domains. Categorized in three broad types (i.e. images, signals, and sequences), these data are huge in amount and complex in nature.
Mufti Mahmud +3 more
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Substance use assessment: comparing self-reports with objective data in a research setting
Accurate assessment of substance use is essential in public health, clinical, and research settings. While self-reports are widely used, they are prone to biases such as social desirability and recall errors.
Alicja Anna Binkowska +5 more
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