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17 papers · ranked by Valyu relevance

01
PPubMed29 Jun 2007
Machine Learning and Its Applications to Biology
Adi L Tarca, Vincent J Carey, Xue-wen Chen, Roberto Romero + 2 more
Let us consider the general case in which we want to classify a collection of objects i = 1, . . ., n into K predefined classes. For instance, if one wants to distinguish between different types of tumors based on gene expression values, then K would represent the number of known existing tumor types. Without loss of…
97relevance
02
PPubMed30 Nov 2010
Comparison Between Supervised and Unsupervised Classifications of Neuronal Cell Types: A Case Study
Luis Guerra, Laura M McGarry, Víctor Robles, Concha Bielza + 2 more
'Pedro Larrañaga' 'Rafael Yuste'] In the study of neural circuits, it becomes essential to discern the different neuronal cell types that build the circuit. Traditionally, neuronal cell types have been classified using qualitative descriptors. More recently, several attempts have been made to classify neurons…
90relevance
03
PPubMed19 Jul 2007
Comparison of Supervised Classification Methods for Protein Profiling in Cancer Diagnosis
Nadège Dossat, Alain Mangé, Jérôme Solassol, William Jacot + 4 more
'Ludovic Lhermitte' 'Thierry Maudelonde' 'Jean-Pierre Daurès' 'Nicolas Molinari'] Title: Summary: A key challenge in clinical proteomics of cancer is the identification of biomarkers that could allow detection, diagnosis and prognosis of the diseases. Recent advances in mass spectrometry and proteomic instrumentations…
88relevance
04
PPubMed25 Sep 2023
A non-linear optimization based robust attribute weighting model for the two-class classification problems
Adi Alhudhaif, Mehmet Cunkas
Background This article aims to determine the coefficients that will reduce the in-class distance and increase the distance between the classes, collecting the data around the cluster centers with meta-heuristic optimization algorithms, thus increasing the classification performance. Methods The proposed mathematical…
79relevance
05
PPubMed26 Sep 2021
Machine Learning: An Overview and Applications in Pharmacogenetics
Giovanna Cilluffo, Salvatore Fasola, Giuliana Ferrante, Velia Malizia + 5 more
'Velia Malizia' 'Laura Montalbano' 'Stefania La Grutta' 'Mariamena Arbitrio' 'Maria Teresa Di Martino' 'Francesca Scionti'] This narrative review aims to provide an overview of the main Machine Learning (ML) techniques and their applications in pharmacogenetics (such as antidepressant, anti-cancer and warfarin drugs)…
78relevance
06
PPubMed19 Jun 2024
Machine Learning Based Fault Classification in Pilot Plant Batch Reactor: Using Support Vector Machine
Arockiaraj Simiyon, Chaitanya Sachidanand, Manthana Halmakki Krishnamurthy, Ananya V. Bhatt + 1 more
Based Fault Classification in Pilot Plant Batch Reactor: Using Support Vector Machine Authors: ['Arockiaraj Simiyon' 'Chaitanya Sachidanand' 'Manthana Halmakki Krishnamurthy' 'Ananya V. Bhatt' 'Thirunavukkarasu Indiran'] Identifying and diagnosing faults is a critical task in process industries to maintain effective…
77relevance
07
PPubMed10 Sep 2021
Semi-supervised associative classification using ant colony optimization algorithm
Hamid Hussain Awan, Waseem Shahzad, Zhiwei Gao
Labeled data is the main ingredient for classification tasks. Labeled data is not always available and free. Semi-supervised learning solves the problem of labeling the unlabeled instances through heuristics. Self-training is one of the most widely-used comprehensible approaches for labeling data. Traditional…
75relevance
08
PPubMed5 Nov 2018
Supervised non-negative matrix factorization methods for MALDI imaging applications
Johannes Leuschner, Maximilian Schmidt, Pascal Fernsel, Delf Lachmund + 3 more
We now assume that a supervised NMF decomposition using a variant of Flda or Flog as described in the previous section has been computed. The next step is the construction of a classifier based on these NMF vectors, i.e. a function mapping new data $Y\dot\inRn\dot\timesm$ to a class prediction $u\dot\in{0,1}n\dot$. For…
75relevance
09
PPubMed1 Oct 2013
Fuzzy support vector machine: an efficient rule-based classification technique for microarrays
Mohsen Hajiloo, Hamid R Rabiee, Mahdi Anooshahpour
Background The abundance of gene expression microarray data has led to the development of machine learning algorithms applicable for tackling disease diagnosis, disease prognosis, and treatment selection problems. However, these algorithms often produce classifiers with weaknesses in terms of accuracy, robustness, and…
74relevance
10
PPubMed18 Nov 2011
Predictive models for anti-tubercular molecules using machine learning on high-throughput biological screening datasets
Vinita Periwal, Jinuraj K Rajappan, Abdul UC Jaleel, Vinod Scaria
Background Tuberculosis is a contagious disease caused by Mycobacterium tuberculosis (Mtb), affecting more than two billion people around the globe and is one of the major causes of morbidity and mortality in the developing world. Recent reports suggest that Mtb has been developing resistance to the widely used…
73relevance
11
PPubMed12 Nov 2021
Do Support Vector Machines Play a Role in Stratifying Patient Population Based on Cancer Biomarkers?
Ben Lanza, Deepak Parashar
Biomarkers are known to be the key driver behind targeted cancer therapies by either stratifying the patients into risk categories or identifying patient subgroups most likely to benefit. However, the ability of a biomarker to stratify patients relies heavily on the type of clinical endpoint data being collected. Of…
73relevance
12
PPubMed18 Jul 2019
Twitter mining using semi-supervised classification for relevance filtering in syndromic surveillance Semi-supervised classification for relevance filtering in syndromic surveillance
Oduwa Edo-Osagie, Gillian Smith, Iain Lake, Obaghe Edeghere + 2 more
'Beatriz De La Iglesia' 'Olalekan Uthman'] We investigate the use of Twitter data to deliver signals for syndromic surveillance in order to assess its ability to augment existing syndromic surveillance efforts and give a better understanding of symptomatic people who do not seek healthcare advice directly. We focus on…
72relevance
13
PPubMed3 Aug 2023
The Experimentalist’s Guide to Machine Learning for Small Molecule Design
Sarah E. Lindley, Yiyang Lu, Diwakar Shukla
Guide to Machine Learning for Small Molecule Design Authors: ['Sarah\nE. Lindley' 'Yiyang Lu' 'Diwakar Shukla'] Initially part of the field of artificial intelligence, machine learning (ML) has become a booming research area since branching out into its own field in the 1990s. After three decades of refinement, ML…
72relevance
14
PPubMed7 Apr 2021
Classification model for accuracy and intrusion detection using machine learning approach
Arushi Agarwal, Purushottam Sharma, Mohammed Alshehri, Ahmed A. Mohamed + 2 more
'Ahmed A. Mohamed' 'Osama Alfarraj' 'Mamoun Alazab'] In today’s cyber world, the demand for the internet is increasing day by day, increasing the concern of network security. The aim of an Intrusion Detection System (IDS) is to provide approaches against many fast-growing network attacks (e.g., DDoS attack, Ransomware…
71relevance
15
PPubMed7 Sep 2024
A Predictive Model for Benchmarking the Performance of Algorithms for Fake and Counterfeit News Classification in Global Networks
Nureni Ayofe Azeez, Sanjay Misra, Davidson Onyinye Ogaraku, Ademola Philip Abidoye + 2 more
The pervasive spread of fake news in online social media has emerged as a critical threat to societal integrity and democratic processes. To address this pressing issue, this research harnesses the power of supervised AI algorithms aimed at classifying fake news with selected algorithms. Algorithms such as Passive…
71relevance
16
PPubMed23 Feb 2015
The Construction of Support Vector Machine Classifier Using the Firefly Algorithm
Chih-Feng Chao, Ming-Huwi Horng
The setting of parameters in the support vector machines (SVMs) is very important with regard to its accuracy and efficiency. In this paper, we employ the firefly algorithm to train all parameters of the SVM simultaneously, including the penalty parameter, smoothness parameter, and Lagrangian multiplier. The proposed…
67relevance
17
PPubMed25 Feb 2019
SuperCT: a supervised-learning framework for enhanced characterization of single-cell transcriptomic profiles
Peng Xie, Mingxuan Gao, Chunming Wang, Jianfei Zhang + 6 more
'Chaoyong Yang' 'Daniel Von\xa0Hoff' 'Haiyong Han' 'Michael Q Zhang' 'Wei Lin'] Title: Abstract Characterization of individual cell types is fundamental to the study of multicellular samples. Single-cell RNAseq techniques, which allow high-throughput expression profiling of individual cells, have significantly advanced…
66relevance

Results for supervised classification

Machine Learning and Its Applications to Biology

Comparison Between Supervised and Unsupervised Classifications of Neuronal Cell Types: A Case Study

Comparison of Supervised Classification Methods for Protein Profiling in Cancer Diagnosis

A non-linear optimization based robust attribute weighting model for the two-class classification problems

Machine Learning: An Overview and Applications in Pharmacogenetics

Machine Learning Based Fault Classification in Pilot Plant Batch Reactor: Using Support Vector Machine

Semi-supervised associative classification using ant colony optimization algorithm

Supervised non-negative matrix factorization methods for MALDI imaging applications

Fuzzy support vector machine: an efficient rule-based classification technique for microarrays

Predictive models for anti-tubercular molecules using machine learning on high-throughput biological screening datasets

Do Support Vector Machines Play a Role in Stratifying Patient Population Based on Cancer Biomarkers?

Twitter mining using semi-supervised classification for relevance filtering in syndromic surveillance Semi-supervised classification for relevance filtering in syndromic surveillance

The Experimentalist’s Guide to Machine Learning for Small Molecule Design

Classification model for accuracy and intrusion detection using machine learning approach

A Predictive Model for Benchmarking the Performance of Algorithms for Fake and Counterfeit News Classification in Global Networks

The Construction of Support Vector Machine Classifier Using the Firefly Algorithm

SuperCT: a supervised-learning framework for enhanced characterization of single-cell transcriptomic profiles

Machine Learning and Its Applications to Biology

Comparison Between Supervised and Unsupervised Classifications of Neuronal Cell Types: A Case Study

Comparison of Supervised Classification Methods for Protein Profiling in Cancer Diagnosis

A non-linear optimization based robust attribute weighting model for the two-class classification problems

Machine Learning: An Overview and Applications in Pharmacogenetics

Machine Learning Based Fault Classification in Pilot Plant Batch Reactor: Using Support Vector Machine

Semi-supervised associative classification using ant colony optimization algorithm

Supervised non-negative matrix factorization methods for MALDI imaging applications

Fuzzy support vector machine: an efficient rule-based classification technique for microarrays

Predictive models for anti-tubercular molecules using machine learning on high-throughput biological screening datasets

Do Support Vector Machines Play a Role in Stratifying Patient Population Based on Cancer Biomarkers?

Twitter mining using semi-supervised classification for relevance filtering in syndromic surveillance Semi-supervised classification for relevance filtering in syndromic surveillance

The Experimentalist’s Guide to Machine Learning for Small Molecule Design

Classification model for accuracy and intrusion detection using machine learning approach

A Predictive Model for Benchmarking the Performance of Algorithms for Fake and Counterfeit News Classification in Global Networks

The Construction of Support Vector Machine Classifier Using the Firefly Algorithm

SuperCT: a supervised-learning framework for enhanced characterization of single-cell transcriptomic profiles