Browsing by Subject "prediction"

Now showing 1 - 6 of 6

Open Access
Assessment of diagnostic enzyme-linked immunosorbent assay kit and serological markers in human brucellosis
(2008) Cakan G.; Bezirci F.B.; Kacka, A.; Cesur, S.; Aksaray, S.; Tezeren, D.; Saka, D.; Ahmed, K.
This study was performed to evaluate commercial brucella immunoglobulin G and M-enzymelinked immunosorbent assay (IgG and IgM ELISA) kits for the diagnosis of human brucellosis and to suggest a candidate prognostic marker for human brucellosis. We determined the serum levels of brucella IgG, IgM, C-reactive protein (CRP), soluble CD14 (sCD 14), and neopterin in patients with brucellosis and compared them with those of normal healthy persons, patients with tuberculosis, and patients with other diseases. It was found that the sensitivity of ELISA to diagnose brucellosis was high when both IgG and IgM ELISA were used together. This study showed that serum CRP, sCD14, or neopterin levels were significantly high during the course of human brucellosis. The above markers, alone or in combination, might have the potential to evaluate treatment outcomes in human brucellosis. The markers that can predict the variability of agglutination titer was also determined. It was found that the titer value alone does not fully represent disease status.
Open Access
Diagnosis of gastric carcinoma by classification on feature projections
(Elsevier, 2004) Güvenir, H. A.; Emeksiz, N.; İkizler, N.; Örmeci, N.
A new classification algorithm, called benefit maximizing classifier on feature projections (BCFP), is developed and applied to the problem of diagnosis of gastric carcinoma. The domain contains records of patients with known diagnosis through gastroscopy results. Given a training set of such records, the BCFP classifier learns how to differentiate a new case in the domain. BCFP represents a concept in the form of feature projections on each feature dimension separately. Classification in the BCFP algorithm is based on a voting among the individual predictions made on each feature. In the gastric carcinoma domain, a lesion can be an indicator of one of nine different levels of gastric carcinoma, from early to late stages. The benefit of correct classification of early levels is much more than that of late cases. Also, the costs of wrong classifications are not symmetric. In the training phase, the BCFP algorithm learns classification rules that maximize the benefit of classification. In the querying phase, using these rules, the BCFP algorithm tries to make a prediction maximizing the benefit. A genetic algorithm is applied to select the relevant features. The performance of the BCFP algorithm is evaluated in terms of accuracy and running time. The rules induced are verified by experts of the domain. © 2004 Elsevier B.V. All rights reserved.
Open Access
GOPred: GO molecular function prediction by combined classifiers
(2010) Saraç Ö.S.; Atalay V.; Cetin-Atalay, R.
Functional protein annotation is an important matter for in vivo and in silico biology. Several computational methods have been proposed that make use of a wide range of features such as motifs, domains, homology, structure and physicochemical properties. There is no single method that performs best in all functional classification problems because information obtained using any of these features depends on the function to be assigned to the protein. In this study, we portray a novel approach that combines different methods to better represent protein function. First, we formulated the function annotation problem as a classification problem defined on 300 different Gene Ontology (GO) terms from molecular function aspect. We presented a method to form positive and negative training examples while taking into account the directed acyclic graph (DAG) structure and evidence codes of GO. We applied three different methods and their combinations. Results show that combining different methods improves prediction accuracy in most cases. The proposed method, GOPred, is available as an online computational annotation tool (http://kinaz.fen.bilkent.edu.tr/gopred). © 2010 Saraç et al.
Open Access
Mutations in the very low-density lipoprotein receptor VLDLR cause cerebellar hypoplasia and quadrupedal locomotion in humans
(National Academy of Sciences, 2008) Ozcelik, T.; Akarsu, N.; Uz, E.; Caglayan, S.; Gulsuner, S.; Onat, O. E.; Tan, M.; Tan, U.
Quadrupedal gait in humans, also known as Unertan syndrome, is a rare phenotype associated with dysarthric speech, mental retardation, and varying degrees of cerebrocerebellar hypoplasia. Four large consanguineous kindreds from Turkey manifest this phenotype. In two families (A and D), shared homozygosity among affected relatives mapped the trait to a 1.3-Mb region of chromosome 9p24. This genomic region includes the VLDLR gene, which encodes the very low-density lipoprotein receptor, a component of the reelin signaling pathway involved in neuroblast migration in the cerebral cortex and cerebellum. Sequence analysis of VLDLR revealed nonsense mutation R257X in family A and single-nucleotide deletion c2339delT in family D. Both these mutations are predicted to lead to truncated proteins lacking transmembrane and signaling domains. In two other families (B and C), the phenotype is not linked to chromosome 9p. Our data indicate that mutations in VLDLR impair cerebrocerebellar function, conferring in these families a dramatic influence on gait, and that hereditary disorders associated with quadrupedal gait in humans are genetically heterogeneous.
Open Access
On the Delay Margin for Consensus in Directed Networks of Anticipatory Agents
(Elsevier B.V., 2016) Irofti D.; Atay, F. M.
We consider a linear consensus problem involving a time delay that arises from predicting the future states of agents based on their past history. In case the agents are coupled in a connected and undirected network, the exact condition for consensus is that the delay be less than a constant threshold that is independent of the network topology or size. In directed networks, however, the situation is quite different. We show that the allowable maximum delay for consensus depends on the network topology in a nontrivial way. We study this delay margin in several network constellations, including various circulant networks with directed links. We show that the delay margin depends not only on the number of neighbors, but also on the directionality of connections with those neighbors. Furthermore, the delay margin improves as the circulant networks are rewired en route to a small-world configuration. © 2016
Open Access
Robustness of massively parallel sequencing platforms
(Public Library of Science, 2015) Kavak P.; Yüksel, B.; Aksu, S.; Kulekci, M.O.; Güngör, T.; Hach F.; Şahinalp, S.C.; Alkan, C.; Saʇiroʇlu, M.Ş.
The improvements in high throughput sequencing technologies (HTS) made clinical sequencing projects such as ClinSeq and Genomics England feasible. Although there are significant improvements in accuracy and reproducibility of HTS based analyses, the usability of these types of data for diagnostic and prognostic applications necessitates a near perfect data generation. To assess the usability of a widely used HTS platform for accurate and reproducible clinical applications in terms of robustness, we generated whole genome shotgun (WGS) sequence data from the genomes of two human individuals in two different genome sequencing centers. After analyzing the data to characterize SNPs and indels using the same tools (BWA, SAMtools, and GATK), we observed significant number of discrepancies in the call sets. As expected, the most of the disagreements between the call sets were found within genomic regions containing common repeats and segmental duplications, albeit only a small fraction of the discordant variants were within the exons and other functionally relevant regions such as promoters. We conclude that although HTS platforms are sufficiently powerful for providing data for first-pass clinical tests, the variant predictions still need to be confirmed using orthogonal methods before using in clinical applications. © 2015 Kavak et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.