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Author Details
Full Name
Jianzhu Ma
Affiliation
Purdue University
ORCID
Career Start Year
2012
Papers
34
H Index
20
Expertise
CM4AI Collaborator
Trey Ideker (CM4AI)
PMID
Paper Title
Journal Title
Published Year
35238654
Deep learning guided optimization of human antibody against SARS-CoV-2 variants with broad neutralization.
Proc Natl Acad Sci U S A
2022
35853872
Single-cell multiomics analysis reveals regulatory programs in clear cell renal cell carcinoma.
Cell Discov
2022
35684708
MobilePrune: Neural Network Compression via <i>â¿¿</i><sub>0</sub> Sparse Group Lasso on the Mobile System.
Sensors (Basel)
2022
36070863
Boosting single-cell gene regulatory network reconstruction via bulk-cell transcriptomic data.
Brief Bioinform
2022
34999749
scPretrain: multi-task self-supervised learning for cell-type classification.
Bioinformatics
2022
34223192
Few-shot learning creates predictive models of drug response that translate from high-throughput screens to individual patients.
Nat Cancer
2021
34819669
A multi-scale map of cell structure fusing protein images and interactions.
Nature
2021
34729476
ParsVNN: parsimony visible neural networks for uncovering cancer-specific and drug-sensitive genes and pathways.
NAR Genom Bioinform
2021
34252957
Disease gene prediction with privileged information and heteroscedastic dropout.
Bioinformatics
2021
34252932
Predicting MHC-peptide binding affinity by differential boundary tree.
Bioinformatics
2021
32619550
Quantitative Translation of Dog-to-Human Aging by Conserved Remodeling of the DNA Methylome.
Cell Syst
2020
33096023
Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cells.
Cancer Cell
2020
32657383
Artificial-cell-type aware cell-type classification in CITE-seq.
Bioinformatics
2020
30878356
DDOT: A Swiss Army Knife for Investigating Data-Driven Biological Ontologies.
Cell Syst
2019
31235599
Robust single-cell Hi-C clustering by convolution- and random-walk-based imputation.
Proc Natl Acad Sci U S A
2019
30726869
Classifying tumors by supervised network propagation.
Bioinformatics
2019
29218918
Annotating gene sets by mining large literature collections with protein networks.
Pac Symp Biocomput
2018
29906441
Visible Machine Learning for Biomedicine.
Cell
2018
29949979
Classifying tumors by supervised network propagation.
Bioinformatics
2018
30297789
Typing tumors using pathways selected by somatic evolution.
Nat Commun
2018
29505029
Using deep learning to model the hierarchical structure and function of a cell.
Nat Methods
2018
28881999
DeepBound: accurate identification of transcript boundaries via deep convolutional neural fields.
Bioinformatics
2017
26752681
Protein Secondary Structure Prediction Using Deep Convolutional Neural Fields.
Sci Rep
2016
27587688
AUCpreD: proteome-level protein disorder prediction by AUC-maximized deep convolutional neural fields.
Bioinformatics
2016
27587686
ModuleAlign: module-based global alignment of protein-protein interaction networks.
Bioinformatics
2016
26230689
DeepCNF-D: Predicting Protein Order/Disorder Regions by Weighted Deep Convolutional Neural Fields.
Int J Mol Sci
2015
26275894
Protein contact prediction by integrating joint evolutionary coupling analysis and supervised learning.
Bioinformatics
2015
26339631
AcconPred: Predicting Solvent Accessibility and Contact Number Simultaneously by a Multitask Learning Framework under the Conditional Neural Fields Model.
Biomed Res Int
2015
24675572
MRFalign: protein homology detection through alignment of Markov random fields.
PLoS Comput Biol
2014
24573471
RaptorX server: a resource for template-based protein structure modeling.
Methods Mol Biol
2014
24629187
Algorithms, applications, and challenges of protein structure alignment.
Adv Protein Chem Struct Biol
2014
23486213
Protein structure alignment beyond spatial proximity.
Sci Rep
2013
23812991
Protein threading using context-specific alignment potential.
Bioinformatics
2013
22689779
A conditional neural fields model for protein threading.
Bioinformatics
2012
1 - 34 of 34
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Co-authored papers
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Tel Aviv University
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Jingtian Zhou
Co-authored papers
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University of California
Co-authored papers
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Georgia Institute of Technology
Co-authored papers
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Katherine Licon
University of California San Diego
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John Paul Shen
The University of Texas MD Anderson Cancer Center
Co-authored papers
2
John Lee
University of California San Diego
Co-authored papers
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Tina Wang
Harvard University
Co-authored papers
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Adriana Pitea
University of California San Diego
Co-authored papers
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Edward W Huang
University of Illinois at Urbana-Champaign
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