Species specific approach to the development of web-based antimicrobial peptides prediction tool for cattle

2015 ◽  
Vol 111 ◽  
pp. 55-61 ◽  
Author(s):  
Sarika ◽  
M.A. Iquebal ◽  
Vasu Arora ◽  
Anil Rai ◽  
Dinesh Kumar
Keyword(s):  
Antimicrobial Peptides ◽  
Prediction Tool ◽  
Web Based ◽  
Specific Approach ◽  
Species Specific

scholarly journals Species-specific audio detection: A comparison of three template-based classification algorithms using random forests

2017 ◽  
Author(s):  
Carlos J Corrada Bravo ◽  
Rafael Álvarez Berríos ◽  
T. Mitchell Aide
Keyword(s):  
Random Forest ◽  
Random Forests ◽  
Random Forest Classifier ◽  
Classification Algorithms ◽  
Statistical Features ◽  
Web Based ◽  
Average Accuracy ◽  
Species Specific ◽  
Web Based System

We developed a web-based cloud-hosted system that allow users to archive, listen, visualize, and annotate recordings. The system also provides tools to convert these annotations into datasets that can be used to train a computer to detect the presence or absence of a species. The algorithm used by the system was selected after comparing the accuracy and efficiency of three variants of a template-based classification. The algorithm computes a similarity vector by comparing a template of a species call with time increments across the spectrogram. Statistical features are extracted from this vector and used as input for a Random Forest classifier that predicts presence or absence of the species in the recording. The fastest algorithm variant had the highest average accuracy and specificity; therefore, it was implemented in the ARBIMON web-based system.

Polymerase Chain Reaction Diagnosis of Leishmaniasis: A Species-Specific Approach

2016 ◽  
pp. 113-124 ◽  
Author(s):  
Eglys González-Marcano ◽  
Hirotomo Kato ◽  
Juan Luis Concepción ◽  
María Elizabeth Márquez ◽  
Alberto Paniz Mondolfi
Keyword(s):  
Polymerase Chain Reaction ◽  
Chain Reaction ◽  
Specific Approach ◽  
Polymerase Chain ◽  
Species Specific

scholarly journals A preliminary overview of raptor monitoring in Slovenia – an overview of methodologies, current monitoring status and future perspectives

Acrocephalus ◽  
2012 ◽  
Vol 33 (154-155) ◽  
pp. 271-276 ◽  
Author(s):  
Al Vrezec
Keyword(s):  
Breeding Success ◽  
Birds Of Prey ◽  
Future Perspectives ◽  
Specific Approach ◽  
Long Term Monitoring ◽  
Species Specific ◽  
Current Monitoring ◽  
Term Monitoring ◽  
Ongoing Monitoring

Abstract Among 48 raptor species (birds of prey, owls, shrikes) recorded recently in Slovenia, some long-term monitoring activities are being conducted for more than half of them, mainly for conservation and research purposes. However, national coverage is achieved only in 15% of the species, whereas other monitoring programmes are more or less local. Two monitoring approaches are considered, the species specific approach and assemblage approach. Current ongoing monitoring programmes for raptors in Slovenia lack monitoring of breeding success, which is now confined to only a few owl species. Use of nestboxes should therefore be considered more broadly in the future for some species at least

Characterization of species-specific genes using a flexible, web-based querying system

2003 ◽  
Vol 225 (2) ◽  
pp. 213-220 ◽  
Author(s):  
Robert L Charlebois ◽  
G.D.Paul Clarke ◽  
Robert G Beiko ◽  
Andrew Jean
Keyword(s):  
Web Based ◽  
Species Specific

Nomogram for predicting the benefit of neoadjuvant chemoradiotherapy for esophageal cancer: A SEER-Medicare analysis.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 4073-4073
Author(s):  
Robert Eil ◽  
Brian S. Diggs ◽  
Samuel J. Wang ◽  
James P. Dolan ◽  
John G. Hunter ◽  
...  
Keyword(s):  
Esophageal Cancer ◽  
Lymph Nodes ◽  
Neoadjuvant Chemoradiotherapy ◽  
Survival Prediction ◽  
Prediction Tool ◽  
Web Based ◽  
Specific Patient ◽  
T Stage ◽  
N Stage ◽  
The Impact

4073 Background: The impact of neoadjuvant chemoradiotherapy for esophageal cancer remains difficult to establish for specific patient (pt) populations. The primary aim of this study was to create a web-based prediction tool that provides individualized survival projections based on clinically relevant tumor and treatment data. Methods: Pts diagnosed with esophageal cancer between 1997 and 2005 were selected from the Surveillance, Epidemiology, and End Results (SEER) Medicare database. The covariates chosen for retrospective analysis were: sex, T and N stage, histology, total lymph nodes examined, and receipt of neoadjuvant chemotherapy (CT), radiotherapy (RT), or chemoradiotherapy (CRT). After weighting correction by treatment groups, a log logistic regression model for overall survival (OS) was selected based on goodness of fit analysis. Based on bootstrap resampling with 100 repetitions the Concordance Index (CI) was 0.703. Results: 1,128 resected esophageal pts that either did or did not receive neoadjuvant treatment were appropriate for analysis. On log logistic multivariate analysis: age, sex, T stage, N stage, number of lymph nodes harvested, receipt of neoadjuvant CRT, and receipt of chemotherapy were significantly associated with OS. All T stages greater than 1 benefitted from neoadjuvant CRT (p=<0.001). No T stage benefitted from isolated neoadjuvant CT or RT. Patients with nodal metastases benefitted from neoadjuvant CRT (p=<0.001) and CT (p=0.002). Conclusions: SEER-Medicare pts with resected esophageal cancer can be used to produce a survival prediction tool that can: 1) serve as a counseling and decision aid to pts and caregivers regarding their postoperative prognosis and 2) assist in research protocol design. Patients T2 or greater or with lymph node metastases benefitted from neoadjuvant CRT based on our data. This nomogram may underestimate the benefit of neoadjuvant CRT due to its variable downstaging effect on final pathologic stage. This web based tool is available for use at http://skynet.ohsu.edu/nomograms .

Establishment and maintenance of an axenic culture of Ettlia sp. using a species-specific approach

2015 ◽  
Vol 20 (6) ◽  
pp. 1056-1063 ◽  
Author(s):  
Hyung-Gwan Lee ◽  
Sang-Yoon Shin ◽  
Long Jin ◽  
Chan Yoo ◽  
Ankita Srivastava ◽  
...  
Keyword(s):  
Axenic Culture ◽  
Specific Approach ◽  
Species Specific

scholarly journals Species-specific audio detection: A comparison of three template-based classification algorithms using random forests

2017 ◽  
Author(s):  
Carlos J Corrada Bravo ◽  
Rafael Álvarez Berríos ◽  
T. Mitchell Aide
Keyword(s):  
Random Forest ◽  
Random Forests ◽  
Random Forest Classifier ◽  
Classification Algorithms ◽  
Statistical Features ◽  
Web Based ◽  
Average Accuracy ◽  
Species Specific ◽  
Web Based System

We developed a web-based cloud-hosted system that allow users to archive, listen, visualize, and annotate recordings. The system also provides tools to convert these annotations into datasets that can be used to train a computer to detect the presence or absence of a species. The algorithm used by the system was selected after comparing the accuracy and efficiency of three variants of a template-based classification. The algorithm computes a similarity vector by comparing a template of a species call with time increments across the spectrogram. Statistical features are extracted from this vector and used as input for a Random Forest classifier that predicts presence or absence of the species in the recording. The fastest algorithm variant had the highest average accuracy and specificity; therefore, it was implemented in the ARBIMON web-based system.

scholarly journals Species-specific audio detection: a comparison of three template-based detection algorithms using random forests

2017 ◽  
Vol 3 ◽  
pp. e113 ◽  
Author(s):  
Carlos J. Corrada Bravo ◽  
Rafael Álvarez Berríos ◽  
T. Mitchell Aide
Keyword(s):  
Random Forest ◽  
Random Forests ◽  
Random Forest Classifier ◽  
Statistical Features ◽  
Web Based ◽  
Detection Algorithms ◽  
Average Accuracy ◽  
Species Specific ◽  
Web Based System

We developed a web-based cloud-hosted system that allow users to archive, listen, visualize, and annotate recordings. The system also provides tools to convert these annotations into datasets that can be used to train a computer to detect the presence or absence of a species. The algorithm used by the system was selected after comparing the accuracy and efficiency of three variants of a template-based detection. The algorithm computes a similarity vector by comparing a template of a species call with time increments across the spectrogram. Statistical features are extracted from this vector and used as input for a Random Forest classifier that predicts presence or absence of the species in the recording. The fastest algorithm variant had the highest average accuracy and specificity; therefore, it was implemented in the ARBIMON web-based system.

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