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Chaolin Zhang

Showing results (31-40 of 93) with videos related to

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Nature Protocols|January 11, 2014
Mapping Argonaute and conventional RNA-binding protein interactions with RNA at single-nucleotide resolution using HITS-CLIP and CIMS analysisMichael J Moore, Chaolin Zhang, Emily Conn Gantman, et al.
La Radiologia Medica|March 21, 2024
The features associated with mammography-occult MRI-detected newly diagnosed breast cancer analysed by comparing machine learning models with a logistic regression modelWei Yang, Yan Yang, Ningmei Zhang, et al.
Genome Research|July 26, 2024
Reference-informed prediction of alternative splicing and splicing-altering mutations from sequencesChencheng Xu, Suying Bao, Ye Wang, et al.
Human Molecular Genetics|July 11, 2006
An increased specificity score matrix for the prediction of SF2/ASF-specific exonic splicing enhancersPhilip J Smith, Chaolin Zhang, Jinhua Wang, et al.
Cell Reports|June 25, 2025
Reverse engineering neuron-type-specific and type-orthogonal splicing-regulatory networks using diverse cellular transcriptomesDaniel F Moakley, Melissa Campbell, Miquel Anglada-Girotto, et al.
Nature Communications|March 14, 2024
Structure-based prediction and characterization of photo-crosslinking in native protein-RNA complexesHuijuan Feng, Xiang-Jun Lu, Suvrajit Maji, et al.
Scientific Reports|May 16, 2024
D-arabinose induces cell cycle arrest by promoting autophagy via p38 MAPK signaling pathway in breast cancerZhenning Tang, Hanying Song, Shaojie Qin, et al.
Genes & Development|September 17, 2008
Defining the regulatory network of the tissue-specific splicing factors Fox-1 and Fox-2Chaolin Zhang, Zuo Zhang, John Castle, et al.
Elife|January 30, 2013
NOVA-dependent regulation of cryptic NMD exons controls synaptic protein levels after seizureTaesun Eom, Chaolin Zhang, Huidong Wang, et al.
Biorxiv : the Preprint Server for Biology|June 25, 2024
Reverse engineering neuron type-specific and type-orthogonal splicing-regulatory networks using single-cell transcriptomesDaniel F Moakley, Melissa Campbell, Miquel Anglada-Girotto, et al.
Pageof 10

Showing results (31-40 of 93) with videos related to

Sort By:
Pageof 10
Nature Protocols|January 11, 2014
Mapping Argonaute and conventional RNA-binding protein interactions with RNA at single-nucleotide resolution using HITS-CLIP and CIMS analysisMichael J Moore, Chaolin Zhang, Emily Conn Gantman, et al.
La Radiologia Medica|March 21, 2024
The features associated with mammography-occult MRI-detected newly diagnosed breast cancer analysed by comparing machine learning models with a logistic regression modelWei Yang, Yan Yang, Ningmei Zhang, et al.
Genome Research|July 26, 2024
Reference-informed prediction of alternative splicing and splicing-altering mutations from sequencesChencheng Xu, Suying Bao, Ye Wang, et al.
Human Molecular Genetics|July 11, 2006
An increased specificity score matrix for the prediction of SF2/ASF-specific exonic splicing enhancersPhilip J Smith, Chaolin Zhang, Jinhua Wang, et al.
Cell Reports|June 25, 2025
Reverse engineering neuron-type-specific and type-orthogonal splicing-regulatory networks using diverse cellular transcriptomesDaniel F Moakley, Melissa Campbell, Miquel Anglada-Girotto, et al.
Nature Communications|March 14, 2024
Structure-based prediction and characterization of photo-crosslinking in native protein-RNA complexesHuijuan Feng, Xiang-Jun Lu, Suvrajit Maji, et al.
Scientific Reports|May 16, 2024
D-arabinose induces cell cycle arrest by promoting autophagy via p38 MAPK signaling pathway in breast cancerZhenning Tang, Hanying Song, Shaojie Qin, et al.
Genes & Development|September 17, 2008
Defining the regulatory network of the tissue-specific splicing factors Fox-1 and Fox-2Chaolin Zhang, Zuo Zhang, John Castle, et al.
Elife|January 30, 2013
NOVA-dependent regulation of cryptic NMD exons controls synaptic protein levels after seizureTaesun Eom, Chaolin Zhang, Huidong Wang, et al.
Biorxiv : the Preprint Server for Biology|June 25, 2024
Reverse engineering neuron type-specific and type-orthogonal splicing-regulatory networks using single-cell transcriptomesDaniel F Moakley, Melissa Campbell, Miquel Anglada-Girotto, et al.
Pageof 10