26 papers · ranked by Valyu relevance
Qingxuan Song, Sofia D Merajver, Jun Z. Li
Classification is an everyday instinct as well as a full-fledged scientific discipline. Throughout the history of medicine, disease classification is central to how we develop knowledge, make diagnosis, and assign treatment. Here we discuss the classification of cancer, the process of categorizing cancer subtypes based…
Didier Fraix‐Burnet
Phylogenetic approaches to classification have been heavily developed in biology by bioinformaticians. But these techniques have applications in other fields, in particular in linguistics. Their main characteristics is to search for relationships between the objects or species in study, instead of grouping them by…
C. Jaschek, M. Jaschek
Dwarf or class V is a spectroscopic luminosity class in the MK system for stars with low luminosity for their spectral type. Giant or class III is a spectroscopic luminosity class in the MK system for stars with intermediate luminosity for their spectral type. Harvard system is the spectral classification system…
Madhav Sigdel, Imren Dinc, Madhu S. Sigdel, Semih Dinc + 2 more
Background Large number of features are extracted from protein crystallization trial images to improve the accuracy of classifiers for predicting the presence of crystals or phases of the crystallization process. The excessive number of features and computationally intensive image processing methods to extract these…
Gilles R. Ducharme
Résumé. This paper considers the problem of choosing a good classifier. For each problem there exist an optimal classifier, but none are optimal, regarding the error rate, in all cases. Because there exists a large number of classifiers, a user would rather prefer an all-purpose classifier that is easy to adjust, in…
Emmanoela N Ferreira, José da S Mourão, Pollyana D Rocha, Douglas M Nascimento + 1 more
'Douglas M Nascimento' 'Dandara Monalisa Mariz da S Q Bezerra'] Background Folk taxonomy is a sub-area of ethnobiology that study the way of how traditional communities classify, identify and name their natural resources. The work present was undertaken in two traditional communities (Barra de Mamanguape and…
Johanna Ärje, Jenni Raitoharju, Alexandros Iosifidis, Ville Tirronen + 4 more
'Kristian Meissner' 'Moncef Gabbouj' 'Serkan Kıranyaz' 'Salme Kärkkäinen'] Abstract—The step of expert taxa recognition currently slows down the response time of many bioassessments. Shifting to quicker and cheaper state-of-the-art machine learning approaches is still met with expert scepticism towards the ability and…
Anna Poncet, Christian R Vogl, Caroline S Weckerle
Background Discussions surrounding ethnobiological classification have been broad and diverse. One of the recurring questions is whether classification is mainly based on the “inherent structure of biological reality” or on cultural, especially utilitarian needs. So far, studies about ethnobotanical classification have…
Nallapareddy Mohan Vamsi, Rohit Dwivedula
Classifying proteins into their respective enzyme class is an interesting question for researchers for a variety of reasons. The open source Protein Data Bank (PDB) contains more than 1,60,000 structures, with more being added everyday. This paper proposes an attention-based bidirectional-LSTM model (ABLE) trained on…
Rene Vernon
This paper updates my 2020 article, “Organising the metals and nonmetals” in which I advocated for parsing the periodic table into four kinds of metals and four of nonmetals. This framework is retained and updated, and augmented with some additional chemistry-related and philosophical observations.
Authors not listed
This research delves into olfaction, a sensory modality that remains complex and inadequately understood. We aim to fill in two gaps in recent studies that attempted to use machine learning and deep learning approaches to predict human smell perception. The first one is that molecules are usually represented with…
D. Malyshev, Aakash Bhat
In the paper we develop multi-class classification of Fermi-LAT gamma-ray sources using machine learning with hierarchical determination of classes. One of the main challenges in the multi-class classification of the Fermi-LAT sources is that the size of some of the classes is relatively small, for example with less…
Gregorio Iraola, Hugo Naya
Taxonomy of prokaryotes has remained a controversial discipline due to the extreme plasticity of microorganisms, causing inconsistencies between phenotypic and genotypic classifications. The genomics era has enhanced taxonomy but also opened new debates about the best practices for incorporating genomic data into…
Alkım Almıla Akdağ Salah, Cheng Gao, Krzysztof Suchecki, Andrea Scharnhorst + 1 more
'Andrea Scharnhorst' 'Richard P. Smiraglia'] To classify is to put things in meaningful groups, but the criteria for doing so can be problematic. Study of evolution of classification includes ontogenetic analysis of change in classification over time. We present an empirical analysis of the UDC over the entire period…
Saer Samanipour, Jake O'Brien, Malcolm Reid, Kevin Thomas + 1 more
The European Chemicals Agency (ECHA) and US Environmental Protection Agency (EPA) have listed approximately 800k chemicals that must be further investigated for their potential environmental and/or human health risk. A significant number of these chemicals have large enough global volumes of consumption (e.g.…
Richardson Ciguene, Julien Mozziconacci, Francis Clément, Aurélien Miralles
The species inventory of global biodiversity is constantly revised and refined by taxonomic research, through the addition of newly discovered species. This almost three century old project provide a knowledge foundation essential for humankind, and notably to develop appropriate conservation strategies. This task…
Qiao Lan, Yuqing Du, Petar Popovski, Kaibin Huang
Wireless connectivity creates a computing paradigm that merges communication and inference. A basic operation in this paradigm is the one where a device offloads classification tasks, such as object recognition, to the edge serves. We term this remote classification, with a potential to enable many intelligent…
Handan Melike Dönertaş, Sergio Martínez Cuesta, Syed Asad Rahman, Janet M. Thornton
The relationship between enzyme-catalysed reactions and the Enzyme Commission (EC) number, the widely accepted classification scheme used to characterise enzyme activity, is complex and with the rapid increase in our knowledge of the reactions catalysed by enzymes needs revisiting. We present a manual and computational…
Saer Samanipour, Jake O'Brien, Malcolm Reid, Kevin Thomas + 1 more
The European and US chemical agencies have listed approximately 800k chemicals where knowledge on potential risks to human health and the environment are lacking. Filling these data gaps experimentally is impossible so in-silico approaches and prediction are essential. Many existing models are however limited by…
Tetsu Sakamoto, J. Miguel Ortega
NCBI Taxonomy is the main taxonomic source for several bioinformatics tools and databases since all organisms with sequence accessions deposited on INSDC are organized in its hierarchical structure. Despite the extensive use and application of this data source, taking advantage of its taxonomic tree could be…
Lars Vogt, István Mikó, Thomas Bartolomaeus
Background In times of exponential data growth in the life sciences, machine-supported approaches are becoming increasingly important and with them the need for FAIR (Findable, Accessible, Interoperable, Reusable) and eScience-compliant data and metadata standards. Ontologies, with their queryable knowledge resources…
Saer Samanipour, Jake O'Brien, Malcolm Reid, Kevin Thomas + 1 more
The European Chemicals Agency (ECHA) and US Environmental Protection Agency (EPA) have listed approximately 800k chemicals that must be further investigated for their potential environmental and/or human health risk. A significant number of these chemicals have large enough global volumes of consumption (e.g.…
Carrine E. Blank, Hong Cui, Lisa R. Moore, Ramona L. Walls
Background MicrO is an ontology of microbiological terms, including prokaryotic qualities and processes, material entities (such as cell components), chemical entities (such as microbiological culture media and medium ingredients), and assays. The ontology was built to support the ongoing development of a natural…
Authors not listed
Diversity and properties of ring systems contained in small molecules are of high interest for applications such as drug discovery or material sciences. In the present work we extract, analyse and classify ring systems found in small molecule compounds of open access databases such as PubChem, ChEMBL, DrugCentral…
Terrence F Meehan, Anna Maria Masci, Amina Abdulla, Lindsay G Cowell + 3 more
'Judith A Blake' 'Christopher J Mungall' 'Alexander D Diehl'] Background The Cell Ontology (CL) is an ontology for the representation of in vivo cell types. As biological ontologies such as the CL grow in complexity, they become increasingly difficult to use and maintain. By making the information in the ontology…
Hyunsoo Park, Anthony Onwuli, Keith T. Butler, Aron Walsh
The combination of elements from the Periodic Table defines a vast chemical space. Only a small fraction of these combinations yield materials that occur naturally or are accessible synthetically. Here, we enumerate binary, ternary, and quaternary element combinations to produce an extensive library of over 10^10…