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Publication search results
found 50 matches
- 2024
- Yaoyao Xu, Xinjian Zhao, Xiaozhuang Song, Benyou Wang, Tianshu Yu:
Boosting Protein Language Models with Negative Sample Mining. ECML/PKDD (10) 2024: 199-214 - Yaoyao Xu, Xinjian Zhao, Xiaozhuang Song, Benyou Wang, Tianshu Yu:
Boosting Protein Language Models with Negative Sample Mining. CoRR abs/2405.17902 (2024) - 2023
- Takuto Koyama, Shigeyuki Matsumoto, Hiroaki Iwata, Ryosuke Kojima, Yasushi Okuno:
Improving Compound-Protein Interaction Prediction by Self-Training with Augmenting Negative Samples. J. Chem. Inf. Model. 63(15): 4552-4559 (2023) - Anna V. Shik, Irina A. Stepanova, Irina A. Doroshenko, Tatyana A. Podrugina, Mikhail K. Beklemishev:
Carbocyanine-Based Optical Sensor Array for the Discrimination of Proteins and Rennet Samples Using Hypochlorite Oxidation. Sensors 23(9): 4299 (2023) - Jingbang Chen, Yian Wang, Xingwei Qu, Shuangjia Zheng, Yaodong Yang, Hao Dong, Jie Fu:
Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators. CoRR abs/2308.15116 (2023) - Yuanyuan Wei, Sai Mu Dalike Abaxi, Mehmood Nawaz, Luoquan Li, Fuyang Qu, Guangyao Cheng, Dehua Hu, Yi-Ping Ho, Scott Wu Yuan, Ho-Pui Ho:
Deep Learning Approach for Large-Scale, Real-Time Quantification of Green Fluorescent Protein-Labeled Biological Samples in Microreactors. CoRR abs/2309.01384 (2023) - 2022
- Amélie Barozet, Kevin Molloy, Marc Vaisset, Christophe Zanon, Pierre Fauret, Thierry Siméon, Juan Cortés:
MoMA-LoopSampler: a web server to exhaustively sample protein loop conformations. Bioinform. 38(2): 552-553 (2022) - Govindasamy Narayanan, M. Syed Ali, Hamed H. Alsulami, Bashir Ahmad, Juan J. Trujillo:
A hybrid impulsive and sampled-data control for fractional-order delayed reaction-diffusion system of mRNA and protein in regulatory mechanisms. Commun. Nonlinear Sci. Numer. Simul. 111: 106374 (2022) - Ying Tao, Sumin Bian, Pengbo Wang, Hongyong Zhang, Wenwen Bi, Peixi Zhu, Mohamad Sawan:
Rapid Optical Biosensing of SARS-CoV-2 Spike Proteins in Artificial Samples. Sensors 22(10): 3768 (2022) - 2021
- R. W. Ludwig, Edward Lau:
JCAST: Sample-specific protein isoform databases for mass spectrometry-based proteomics experiments. Softw. Impacts 10: 100163 (2021) - 2020
- Aritro Nath, Paul Geeleher, Rong Stephanie Huang:
Long non-coding RNA transcriptome of uncharacterized samples can be accurately imputed using protein-coding genes. Briefings Bioinform. 21(2): 637-648 (2020) - Cen Wan, David T. Jones:
Protein function prediction is improved by creating synthetic feature samples with generative adversarial networks. Nat. Mach. Intell. 2(9): 540-550 (2020) - Arnold C. Paglinawan, Febus Reidj G. Cruz, Leonardo D. Valiente, Jesus Paolo T. Mendoza, Arnold M. Chanliongco, Jerome B. Torres, Rachelle Geleen S. Tungol:
Measurement of Specific Gravity, Urobilinogen, Blood, Protein and pH Level of Urine Samples Using Raspberry Pi based Portable Urine Test Strip Analyzer. ICBET 2020: 58-63 - Sandeep Kasaragod, Varshasnata Mohanty, Ankur Tyagi, Santosh Kumar Behera, Arun H. Patil, Sneha M. Pinto, T. S. Keshava Prasad, Prashant Kumar Modi, Harsha Gowda:
CusVarDB: A tool for building customized sample-specific variant protein database from next-generation sequencing datasets. F1000Research 9: 344 (2020) - 2019
- Hui Li, Dechang Pi, Chuanming Chen, Hongyi Li:
A Novel Prediction Method for Zinc-Binding Sites in Proteins by an Ensemble of SVM and Sample-Weighted Probabilistic Neural Network. IEEE Access 7: 186147-186157 (2019) - Ye Wang, Changqing Mei, Yuming Zhou, Yan Wang, Chunhou Zheng, Xiao Zhen, Yan Xiong, Peng Chen, Jun Zhang, Bing Wang:
Semi-supervised prediction of protein interaction sites from unlabeled sample information. BMC Bioinform. 20-S(25): 699 (2019) - Sheng Yang, Hao Liu, Yangpeng Zhang, Hui Lu, Hai-Feng Chen:
Residue-Specific Force Field Improving the Sample of Intrinsically Disordered Proteins and Folded Proteins. J. Chem. Inf. Model. 59(11): 4793-4805 (2019) - Pratik Dutta, Sriparna Saha, Saurabh Gulati:
Graph-Based Hub Gene Selection Technique Using Protein Interaction Information: Application to Sample Classification. IEEE J. Biomed. Health Informatics 23(6): 2670-2676 (2019) - 2018
- Denson Smith, Sumanth Yenduri, Sumaiya Iqbal, P. Venkata Krishna:
An efficient distributed protein disorder prediction with pasted samples. Comput. Electr. Eng. 65: 342-356 (2018) - Zhe Lu, Yi Liu, Junfeng Xu, Hongping Yin, Haiying Yuan, Jinjing Gu, Yan-hua Chen, Liyun Shi, Dan Chen, Bin Xie:
Immunohistochemical quantification of expression of a tight junction protein, claudin-7, in human lung cancer samples using digital image analysis method. Comput. Methods Programs Biomed. 155: 179-187 (2018) - Jayvee R. Abella, Mark Moll, Lydia E. Kavraki:
Maintaining and Enhancing Diversity of Sampled Protein Conformations in Robotics-Inspired Methods. J. Comput. Biol. 25(1): 3-20 (2018) - Tatiana Maximova, Zijing Zhang, Daniel Carr, Erion Plaku, Amarda Shehu:
Sample-Based Models of Protein Energy Landscapes and Slow Structural Rearrangements. J. Comput. Biol. 25(1): 33-50 (2018) - 2017
- Leyi Wei, Pengwei Xing, Jian-Cang Zeng, Jin-Xiu Chen, Ran Su, Fei Guo:
Improved prediction of protein-protein interactions using novel negative samples, features, and an ensemble classifier. Artif. Intell. Medicine 83: 67-74 (2017) - Willy Vincent Bienvenut, Jean-Pierre Scarpelli, Johan Dumestier, Thierry Meinnel, Carmela Giglione:
EnCOUNTer: a parsing tool to uncover the mature N-terminus of organelle-targeted proteins in complex samples. BMC Bioinform. 18(1): 182:1-182:13 (2017) - Zhanzhan Cheng, Kai Huang, Yang Wang, Hui Liu, Jihong Guan, Shuigeng Zhou:
Selecting high-quality negative samples for effectively predicting protein-RNA interactions. BMC Syst. Biol. 11(S-2): 9:1-9:11 (2017) - Thomas A. Peterson, Iris Ivy M. Gauran, Junyong Park, DoHwan Park, Maricel G. Kann:
Oncodomains: A protein domain-centric framework for analyzing rare variants in tumor samples. PLoS Comput. Biol. 13(4) (2017) - 2016
- Kira Vyatkina, Si Wu, Lennard J. Dekker, Martijn M. VanDuijn, Xiaowen Liu, Nikola Tolic, Theo M. Luider, Ljiljana Pasa-Tolic, Pavel A. Pevzner:
Top-down analysis of protein samples by de novo sequencing techniques. Bioinform. 32(18): 2753-2759 (2016) - Zhisen Wei, Ke Han, Jing-Yu Yang, Hong-Bin Shen, Dong-Jun Yu:
Protein-protein interaction sites prediction by ensembling SVM and sample-weighted random forests. Neurocomputing 193: 201-212 (2016) - Tatiana Maximova, Daniel Carr, Erion Plaku, Amarda Shehu:
Sample-based Models of Protein Structural Transitions. BCB 2016: 128-137 - 2015
- Hui Liu, Jianjiang Sun, Jihong Guan, Jie Zheng, Shuigeng Zhou:
Improving compound-protein interaction prediction by building up highly credible negative samples. Bioinform. 31(12): 221-229 (2015)
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