| |
Original Artikel |
Datum |
Titel |
Autoren Max. 6 Autoren |
| 1 |
[GO] |
2025―Feb―12 |
CoMIT: a bioinformatic pipeline for risk-based prediction of COVID-19 test inclusivity |
Diane M. Walker, Wendy A. Smith, Lia Gale, Jacob T. Wolff, Connor P. Healy, Hannah F. Van Hollebeke, Ashlie Stephenson, Marianne Kim |
| 2 |
[GO] |
2024―Jul―05 |
Deepvirusclassifier: a deep learning tool for classifying SARS-CoV-2 based on viral subtypes within the coronaviridae family |
Karolayne S. Azevedo, Luísa C. de Souza, Maria G. F. Coutinho, Raquel de M. Barbosa, Marcelo A. C. Fernandes |
| 3 |
[GO] |
2024―Mrz―27 |
Utilizing genomic signatures to gain insights into the dynamics of SARS-CoV-2 through Machine and Deep Learning techniques |
Ahmed M. A. Elsherbini, Amr Hassan Elkholy, Youssef M. Fadel, Gleb Goussarov, Ahmed Mohamed Elshal, Mohamed El-Hadidi, Mohamed Mysara |
| 4 |
[GO] |
2024―Jan―17 |
COVID-19 detection from chest X-ray images using CLAHE-YCrCb, LBP, and machine learning algorithms |
Rukundo Prince, Zhendong Niu, Zahid Younas Khan, Masabo Emmanuel, Niyishaka Patrick |
| 5 |
[GO] |
2023―Sep―27 |
Fuzzy optimization for identifying antiviral targets for treating SARS-CoV-2 infection in the heart |
Sz-Wei Chu, Feng-Sheng Wang |
| 6 |
[GO] |
2023―Jul―20 |
A pipeline for the retrieval and extraction of domain-specific information with application to COVID-19 immune signatures |
Adam J. H. Newton, David Chartash, Steven H. Kleinstein, Robert A. McDougal |
| 7 |
[GO] |
2023―Mai―10 |
Deep learning approach for early prediction of COVID-19 mortality using chest X-ray and electronic health records |
Seung Min Baik, Kyung Sook Hong, Dong Jin Park |
| 8 |
[GO] |
2023―Mrz―26 |
New proposal of viral genome representation applied in the classification of SARS-CoV-2 with deep learning |
Luísa C. de Souza, Karolayne S. Azevedo, Jackson G. de Souza, Raquel de M. Barbosa, Marcelo A. C. Fernandes |
| 9 |
[GO] |
2023―Feb―15 |
DRaW: prediction of COVID-19 antivirals by deep learning-an objection on using matrix factorization |
S. Morteza Hashemi, Arash Zabihian, Mohsen Hooshmand, Sajjad Gharaghani |
| 10 |
[GO] |
2023―Jan―24 |
Effective matrix designs for COVID-19 group testing |
David Brust, Johannes J. Brust |
| 11 |
[GO] |
2023―Jan―06 |
Machine learning to analyse omic-data for COVID-19 diagnosis and prognosis |
Xuehan Liu, Md Rakibul Hasan, Khandaker Asif Ahmed, Md Zakir Hossain |
| 12 |
[GO] |
2022―Dez―19 |
VirPool: model-based estimation of SARS-CoV-2 variant proportions in wastewater samples |
Askar Gafurov, Andrej Baláž, Fabian Amman, Kristína Boršová, Viktória Čabanová, Boris Klempa, Andreas Bergthaler, Tomáš Vinař, Broňa Brejová |
| 13 |
[GO] |
2022―Dez―19 |
Unsupervised outlier detection applied to SARS-CoV-2 nucleotide sequences can identify sequences of common variants and other variants of interest |
Georg Hahn, Sanghun Lee, Dmitry Prokopenko, Jonathan Abraham, Tanya Novak, Julian Hecker, Michael Cho, Surender Khurana, Lindsey R. Baden, Adrienne G. Randolph, Scott T. Weiss, Christoph Lange |
| 14 |
[GO] |
2022―Aug―17 |
Semi-supervised COVID-19 CT image segmentation using deep generative models |
Judah Zammit, Daryl L. X. Fung, Qian Liu, Carson Kai-Sang Leung, Pingzhao Hu |
| 15 |
[GO] |
2022―Aug―04 |
Development of the International Classification of Diseases Ontology (ICDO) and its application for COVID-19 diagnostic data analysis |
Ling Wan, Justin Song, Virginia He, Jennifer Roman, Grace Whah, Suyuan Peng, Luxia Zhang, Yongqun He |
| 16 |
[GO] |
2022―Jul―06 |
CAD systems for COVID-19 diagnosis and disease stage classification by segmentation of infected regions from CT images |
Mohammad H. Alshayeji, Silpa ChandraBhasi Sindhu, Sa’ed Abed |
| 17 |
[GO] |
2022―Jul―01 |
Optimize data-driven multi-agent simulation for COVID-19 transmission |
Chao Jin, Hao Zhang, Ling Yin, Yong Zhang, Sheng-zhong Feng |
| 18 |
[GO] |
2022―Jun―29 |
Multi-probe attention neural network for COVID-19 semantic indexing |
Jinghang Gu, Rong Xiang, Xing Wang, Jing Li, Wenjie Li, Longhua Qian, Guodong Zhou, Chu-Ren Huang |
| 19 |
[GO] |
2022―Jun―02 |
CoQUAD: a COVID-19 question answering dataset system, facilitating research, benchmarking, and practice |
Shaina Raza, Brian Schwartz, Laura C. Rosella |
| 20 |
[GO] |
2022―Mai―17 |
NGS data vectorization, clustering, and finding key codons in SARS-CoV-2 variations |
Juhyeon Kim, Saeyeon Cheon, Insung Ahn |
| 21 |
[GO] |
2022―Mai―16 |
Molecular docking analysis reveals the functional inhibitory effect of Genistein and Quercetin on TMPRSS2: SARS-COV-2 cell entry facilitator spike protein |
Reji Manjunathan, Vijayalakshmi Periyaswami, Kartik Mitra, Arokiaraj Sherlin Rosita, Medha Pandya, Jayaraman Selvaraj, Lokesh Ravi, Nalini Devarajan, Mukesh Doble |
| 22 |
[GO] |
2022―Apr―25 |
AutoCoV: tracking the early spread of COVID-19 in terms of the spatial and temporal patterns from embedding space by K-mer based deep learning |
Inyoung Sung, Sangseon Lee, Minwoo Pak, Yunyol Shin, Sun Kim |
| 23 |
[GO] |
2022―Apr―15 |
COVID-profiler: a webserver for the analysis of SARS-CoV-2 sequencing data |
Jody Phelan, Wouter Deelder, Daniel Ward, Susana Campino, Martin L. Hibberd, Taane G. Clark |
| 24 |
[GO] |
2021―Nov―08 |
Classifying chest CT images as COVID-19 positive/negative using a convolutional neural network ensemble model and uniform experimental design method |
Yao-Mei Chen, Yenming J. Chen, Wen-Hsien Ho, Jinn-Tsong Tsai |
| 25 |
[GO] |
2021―Okt―04 |
shinyCurves, a shiny web application to analyse multisource qPCR amplification data: a COVID-19 case study |
S. Olaechea-Lázaro, I. García-Santisteban, J. R. Pineda, I. Badiola, S. Alonso, Jose Ramon Bilbao, Nora Fernandez-Jimenez |
| 26 |
[GO] |
2021―Jul―17 |
HAVoC, a bioinformatic pipeline for reference-based consensus assembly and lineage assignment for SARS-CoV-2 sequences |
Phuoc Thien Truong Nguyen, Ilya Plyusnin, Tarja Sironen, Olli Vapalahti, Ravi Kant, Teemu Smura |
| 27 |
[GO] |
2021―Jun―10 |
Forecasting the spread of COVID-19 using LSTM network |
Shiu Kumar, Ronesh Sharma, Tatsuhiko Tsunoda, Thirumananseri Kumarevel, Alok Sharma |
| 28 |
[GO] |
2021―Mai―13 |
IPD 2.0: To derive insights from an evolving SARS-CoV-2 genome |
Sanket Desai, Aishwarya Rane, Asim Joshi, Amit Dutt |
| 29 |
[GO] |
2021―Mai―03 |
The Coronavirus Network Explorer: mining a large-scale knowledge graph for effects of SARS-CoV-2 on host cell function |
Andreas Krämer, Jean-Noël Billaud, Stuart Tugendreich, Dan Shiffman, Martin Jones, Jeff Green |
| 30 |
[GO] |
2021―Apr―08 |
Common low complexity regions for SARS-CoV-2 and human proteomes as potential multidirectional risk factor in vaccine development |
Aleksandra Gruca, Joanna Ziemska-Legiecka, Patryk Jarnot, Elzbieta Sarnowska, Tomasz J. Sarnowski, Marcin Grynberg |
| 31 |
[GO] |
2021―Mrz―26 |
In silico comparative study of SARS-CoV-2 proteins and antigenic proteins in BCG, OPV, MMR and other vaccines: evidence of a possible putative protective effect |
Sondes Haddad-Boubaker, Houcemeddine Othman, Rabeb Touati, Kaouther Ayouni, Marwa Lakhal, Imen Ben Mustapha, Kais Ghedira, Maher Kharrat, Henda Triki |
| 32 |
[GO] |
2021―Jan―07 |
H2V: a database of human genes and proteins that respond to SARS-CoV-2, SARS-CoV, and MERS-CoV infection |
Nan Zhou, Jinku Bao, Yuping Ning |
| 33 |
[GO] |
2020―Dez―14 |
In silico trial to test COVID-19 candidate vaccines: a case study with UISS platform |
Giulia Russo, Marzio Pennisi, Epifanio Fichera, Santo Motta, Giuseppina Raciti, Marco Viceconti, Francesco Pappalardo |
| 34 |
[GO] |
2020―Okt―02 |
Real-time audio and visual display of the Coronavirus genome |
Mark D. Temple |
