According to our database1, Zhaolei Zhang authored at least 29 papers between 2006 and 2018.
Legend:Book In proceedings Article PhD thesis Other
Dimension Reduction on Open Data Using Variational Autoencoder.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
Deep Autoencoders for Dimensionality Reduction of High-Content Screening Data.
SignalSpider: probabilistic pattern discovery on multiple normalized ChIP-Seq signal profiles.
A novel motif-discovery algorithm to identify co-regulatory motifs in large transcription factor and microRNA co-regulatory networks in human.
Regression Analysis of Combined Gene Expression Regulation in Acute Myeloid Leukemia.
PLoS Computational Biology, 2014
SNPdryad: predicting deleterious non-synonymous human SNPs using only orthologous protein sequences.
Mirsynergy: detecting synergistic miRNA regulatory modules by overlapping neighbourhood expansion.
A probabilistic approach to explore human miRNA targetome by integrating miRNA-overexpression data and sequence information.
PhenoM: a database of morphological phenotypes caused by mutation of essential genes in Saccharomyces cerevisiae.
Nucleic Acids Research, 2012
Evolutionary multimodal optimization using the principle of locality.
Inf. Sci., 2012
DAnCER: Disease-Annotated Chromatin Epigenetics Resource.
Nucleic Acids Research, 2011
Gene expression variations are predictive for stochastic noise.
Nucleic Acids Research, 2011
Differential effects of chromatin regulators and transcription factors on gene regulation: a nucleosomal perspective.
Gene Expression Variability within and between Human Populations and Implications toward Disease Susceptibility.
PLoS Computational Biology, 2010
MiCroKit 3.0: an integrated database of midbody, centrosome and kinetochore.
Nucleic Acids Research, 2010
Deep Supervised t-Distributed Embedding.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Small RNAs Originated from Pseudogenes: cis- or trans-Acting?
PLoS Computational Biology, 2009
Learned Random-Walk Kernels and Empirical-Map Kernels for Protein Sequence Classification.
Journal of Computational Biology, 2009
A Probabilistic Framework to Improve microRNA Target Prediction by Incorporating Proteomics Data.
J. Bioinformatics and Computational Biology, 2009
Large-Margin kNN Classification Using a Deep Encoder Network
Learning Random-Walk Kernels for Protein Remote Homology Identification and Motif Discovery.
Proceedings of the SIAM International Conference on Data Mining, 2009
A Deep Non-linear Feature Mapping for Large-Margin kNN Classification.
Proceedings of the ICDM 2009, 2009
MAID : An effect size based model for microarray data integration across laboratories and platforms.
BMC Bioinformatics, 2008
A hybrid model for robust detection of transcription factor binding sites.
Pseudogene.org: a comprehensive database and comparison platform for pseudogene annotation.
Nucleic Acids Research, 2007
Modifying kernels using label information improves SVM classification performance.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007
Enhancing the Prediction of Transcription Factor Binding Sites by Incorporating Structural Properties and Nucleotide Covariations.
Journal of Computational Biology, 2006
PseudoPipe: an automated pseudogene identification pipeline.
Accounting for Structural Properties and Nucleotide Co-variations in the Quantitative Prediction of Binding Affinities of Protein-DNA Interactions.
Proceedings of the Biocomputing 2006, 2006