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Kang Ning 0001
Person information
- affiliation: Huazhong University of Science and Technology, Wuhan, China
- affiliation (former): Chinese Academy of Sciences, Qingdao Institute of Bioenergy and Bioprocess Technology, China
- affiliation (former): University of Michigan, Department of Pathology, Ann Arbor, MI, USA
- affiliation: National University of Singapore (NUS)
Other persons with the same name
- Kang Ning 0002
— University of California at Santa Barbara, Department of Electrical and Computer Engineering, CA, USA
- Kang Ning 0003 — Guangdong University of Technology, School of Information Engineering, Guangzhou, China
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2020 – today
- 2024
- [j37]Mingyue Cheng, Hong Zhou, Haobo Zhang, Xinchao Zhang, Shuting Zhang, Hong Bai, Yugo Zha, Dan Luo, Dan Chen, Siyuan Chen, Kang Ning, Wei Liu:
Hidden Links Between Skin Microbiome and Skin Imaging Phenome. Genom. Proteom. Bioinform. 22(4) (2024) - 2023
- [j36]Haohong Zhang
Tracing human life trajectory using gut microbial communities by context-aware deep learning. Briefings Bioinform. 24(1) (2023) - [j35]Wei Xu, Teng Wang
Artificial intelligence-enabled microbiome-based diagnosis models for a broad spectrum of cancer types. Briefings Bioinform. 24(3) (2023) - [j34]Cheng Chen
ContactLib-ATT: A Structure-Based Search Engine for Homologous Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3421-3429 (2023) - 2022
- [j33]Yuguo Zha
Ontology-aware neural network: a general framework for pattern mining from microbiome data. Briefings Bioinform. 23(2) (2022) - [j32]Hui Chong
EXPERT: transfer learning-enabled context-aware microbial community classification. Briefings Bioinform. 23(6) (2022) - [j31]Yuguo Zha
Microbial Dark Matter: from Discovery to Applications. Genom. Proteom. Bioinform. 20(5): 867-881 (2022) - 2021
- [j30]Mo Zhu, Kai Kang
Meta-Prism: Ultra-fast and highly accurate microbial community structure search utilizing dual indexing and parallel computation. Briefings Bioinform. 22(1): 557-567 (2021) - [j29]Tao Bai, Xue Zhu
Reliable and Interpretable Mortality Prediction With Strong Foresight in COVID-19 Patients: An International Study From China and Germany. Frontiers Artif. Intell. 4: 672050 (2021) - [c11]Cheng Chen, Yuguo Zha
Hydrogen bonds meet self-attention: all you need for protein structure embedding. BIBM 2021: 12-17 - 2020
- [j28]Wang-Lin Liu
Classification of the Gut Microbiota of Patients in Intensive Care Units During Development of Sepsis and Septic Shock. Genom. Proteom. Bioinform. 18(6): 696-707 (2020)
2010 – 2019
- 2019
- [j27]Chongyang Tan, Wei Cui
Strain-GeMS: optimized subspecies identification from microbiome data based on accurate variant modeling. Bioinform. 35(10): 1789-1791 (2019) - [j26]Pengshuo Yang, Shaojun Yu
Meta-network: optimized species-species network analysis for microbial communities. BMC Genom. 20(S2) (2019) - [j25]Kang Ning
The Fast Track for Microbiome Research. Genom. Proteom. Bioinform. 17(1): 1-3 (2019) - [j24]Mingyue Cheng
Stereotypes About Enterotype: the Old and New Ideas. Genom. Proteom. Bioinform. 17(1): 4-12 (2019) - [j23]Maozhen Han
Agricultural Risk Factors Influence Microbial Ecology in Honghu Lake. Genom. Proteom. Bioinform. 17(1): 76-90 (2019) - 2016
- [j22]Chao Wang, Haicang Zhang, Wei-Mou Zheng, Dong Xu, Jianwei Zhu, Bing Wang, Kang Ning
FALCON@home: a high-throughput protein structure prediction server based on remote homologue recognition. Bioinform. 32(3): 462-464 (2016) - [j21]Gabriel H. Murillo, Na You, Xiaoquan Su, Wei Cui, Muredach P. Reilly
MultiGeMS: detection of SNVs from multiple samples using model selection on high-throughput sequencing data. Bioinform. 32(10): 1486-1492 (2016) - 2015
- [j20]Shiwei Sun, Xuetao Wang, Xin Gao
Condensing Raman spectrum for single-cell phenotype analysis. BMC Bioinform. 16(S18): S15 (2015) - [j19]Houjin Zhang
The Tara Oceans Project: New Opportunities and Greater Challenges Ahead. Genom. Proteom. Bioinform. 13(5): 275-277 (2015) - [j18]Xiaoquan Su, Xiaojun Wang, Gongchao Jing, Shi Huang, Jian Xu
Application of Meta-Mesh on the analysis of microbial communities from human associated-habitats. Quant. Biol. 3(1): 4-18 (2015) - 2014
- [j17]Xiaoquan Su, Xuetao Wang, Gongchao Jing, Kang Ning
GPU-Meta-Storms: computing the structure similarities among massive amount of microbial community samples using GPU. Bioinform. 30(7): 1031-1033 (2014) - [j16]Peng Yang, Xiaoquan Su, Le Ou-Yang, Hon Nian Chua, Xiaoli Li
Microbial community pattern detection in human body habitats via ensemble clustering framework. BMC Syst. Biol. 8(S-4): S7 (2014) - [j15]Qian Zhou
Meta-QC-Chain: Comprehensive and Fast Quality Control Method for Metagenomic Data. Genom. Proteom. Bioinform. 12(1): 52-56 (2014) - [j14]Xinwei Cheng, Xiaohua Chen, Xiaoquan Su, Huanxin Zhao, Maozhen Han
DNA Extraction Protocol for Biological Ingredient Analysis of Liuwei Dihuang Wan. Genom. Proteom. Bioinform. 12(3): 137-143 (2014) - [i7]Peng Yang, Xiaoquan Su, Le Ou-Yang, Hon Nian Chua, Xiaoli Li, Kang Ning:
Microbial community pattern detection in human body habitats via ensemble clustering framework. CoRR abs/1412.7384 (2014) - 2013
- [i6]Kang Ning, Kwok Pui Choi:
Systematic assessment of the expected length, variance and distribution of Longest Common Subsequences. CoRR abs/1306.4253 (2013) - 2012
- [j13]Na You, Gabriel H. Murillo, Xiaoquan Su, Xiaowei Zeng, Jian Xu
SNP calling using genotype model selection on high-throughput sequencing data. Bioinform. 28(5): 643-650 (2012) - [j12]Xiaoquan Su, Jian Xu
Meta-Storms: efficient search for similar microbial communities based on a novel indexing scheme and similarity score for metagenomic data. Bioinform. 28(19): 2493-2501 (2012) - [j11]Xiaoquan Su, Jian Xu
Parallel-META: efficient metagenomic data analysis based on high-performance computation. BMC Syst. Biol. 6(S-1): S16 (2012) - [c10]Wei Fang, Xingzhi Chang, Xiaoquan Su, Jian Xu, Deli Zhang, Kang Ning
A machine learning framework of functional biomarker discovery for different microbial communities based on metagenomic data. ISB 2012: 106-112 - 2011
- [j10]Kang Ning
Analysis of the relationships among Longest Common Subsequences, Shortest Common Supersequences and patterns and its application on pattern discovery in biological sequences. Int. J. Data Min. Bioinform. 5(6): 611-625 (2011) - [j9]Kang Ning
The multiple sequence sets: problem and heuristic algorithms. J. Comb. Optim. 22(4): 778-796 (2011) - [c9]Xiaoquan Su, Yongzheng Ma, Hongwei Yang, Xingzhi Chang, Kai Nan, Jian Xu, Kang Ning
An Open-source Collaboration Environment for Metagenomics Research. eScience 2011: 7-14 - 2010
- [j8]Sriganesh Srihari
MCL-CAw: a refinement of MCL for detecting yeast complexes from weighted PPI networks by incorporating core-attachment structure. BMC Bioinform. 11: 504 (2010) - [j7]Kang Ning
Examination of the relationship between essential genes in PPI network and hub proteins in reverse nearest neighbor topology. BMC Bioinform. 11: 505 (2010) - [j6]Kang Ning
The utility of mass spectrometry-based proteomic data for validation of novel alternative splice forms reconstructed from RNA-Seq data: a preliminary assessment. BMC Bioinform. 11(S-11): S14 (2010) - [j5]Kang Ning
Deposition and extension approach to find longest common subsequence for thousands of long sequences. Comput. Biol. Chem. 34(3): 149-157 (2010) - [i5]Kang Ning:
Multiple oligo nucleotide arrays: Methods to reduce manufacture time and cost. CoRR abs/1004.5436 (2010)
2000 – 2009
- 2009
- [i4]Kang Ning:
A Deposition and Post Processing Approach for the Longest Common Subsequence Problem. CoRR abs/0903.2015 (2009) - [i3]Kang Ning, Hoong Kee Ng, Hon Wai Leong:
Analysis of the Relationships among Longest Common Subsequences, Shortest Common Supersequences and Patterns and its application on Pattern Discovery in Biological Sequences. CoRR abs/0903.2310 (2009) - [i2]Kang Ning:
A Pseudo DNA Cryptography Method. CoRR abs/0903.2693 (2009) - [i1]Kang Ning, Hon Wai Leong:
The Distribution and Deposition Algorithm for Multiple Sequences Sets. CoRR abs/0904.1242 (2009) - 2008
- [j4]Hon Nian Chua, Kang Ning
Using Indirect protein-protein Interactions for protein Complex Prediction. J. Bioinform. Comput. Biol. 6(3): 435-466 (2008) - [j3]Kang Ning
On Preprocessing and Antisymmetry in de novo peptide Sequencing: Improving Efficiency and Accuracy. J. Bioinform. Comput. Biol. 6(3): 467-492 (2008) - [c8]Sriganesh Srihari, Hoong Kee Ng, Kang Ning, Hon Wai Leong:
Detecting hubs and quasi cliques in scale-free networks. ICPR 2008: 1-4 - 2007
- [c7]Kang Ning, Ket Fah Chong, Hon Wai Leong:
De Novo Peptide Sequencing for Mass Spectra Based on Multi-Charge Strong Tags. APBC 2007: 287-296 - [c6]Hoong Kee Ng, Kang Ning
A New Approach for Similarity Queries of Biological Sequences in Databases. PAKDD 2007: 728-736 - 2006
- [j2]Kang Ning
Towards a better solution to the shortest common supersequence problem: the deposition and reduction algorithm. BMC Bioinform. 7(S-4) (2006) - [j1]Ket Fah Chong, Kang Ning
Modeling and Characterization of Multi-charge Mass Spectra for Peptide Sequencing. J. Bioinform. Comput. Biol. 4(6): 1329-1352 (2006) - [c5]Ket Fah Chong, Kang Ning, Hon Wai Leong, Pavel A. Pevzner:
Characterization of Multi-Charge Mass Spectra for Peptide Sequencing. APBC 2006: 109-119 - [c4]Kang Ning
Finding Patterns in Biological Sequences by Longest Common Subsequencesand Shortest Common Supersequences. BIBE 2006: 53-60 - [c3]Kang Ning
Towards a Better Solution to the Shortest Common Supersequence Problem: A Post. IMSCCS (1) 2006: 84-90 - [c2]Kang Ning
A Database Search Algorithm for Identification of Peptides with Multiple Charges Using Tandem Mass Spectrometry. BioDM 2006: 2-13 - [c1]Kang Ning
Automated Identification of Protein Classification and Detection of Annotation Errors in Protein Databases Using Statistical Approaches. KDLL 2006: 123-138
Coauthor Index
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