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Journal of Consulting and Clinical Psychology
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August 24, 2018
When the torch is passed, does the flame still burn? Testing a "train the supervisor" model for the Child STEPs treatment program
John R Weisz, Ana M Ugueto, Jenny Herren, et al.
Cell Genomics
|
November 16, 2022
Dual genome-wide coding and lncRNA screens in neural induction of induced pluripotent stem cells
David Wu, Aunoy Poddar, Elpiniki Ninou, et al.
Science (New York, N.Y.)
|
July 24, 2025
High-resolution spatial mapping of cell state and lineage dynamics in vivo with PEtracer
Luke W Koblan, Kathryn E Yost, Pu Zheng, et al.
Biorxiv : the Preprint Server for Biology
|
July 15, 2025
High-resolution spatial mapping of cell state and lineage dynamics <i>in vivo</i> with PEtracer
Luke W Koblan, Kathryn E Yost, Pu Zheng, et al.
Science (New York, N.Y.)
|
September 27, 2008
Conservation and rewiring of functional modules revealed by an epistasis map in fission yeast
Assen Roguev, Sourav Bandyopadhyay, Martin Zofall, et al.
Medical Care
|
June 27, 2017
Randomized Trial of Reducing Ambulatory Malpractice and Safety Risk: Results of the Massachusetts PROMISES Project
Gordon D Schiff, Harry Reyes Nieva, Paula Griswold, et al.
Nature Communications
|
August 14, 2025
Large-scale CRISPR screening in primary human 3D gastric organoids enables comprehensive dissection of gene-drug interactions
Yuan-Hung Lo, Hudson T Horn, Mo-Fan Huang, et al.
Annals of Surgery
|
September 12, 2025
Patient and Caregiver Experiences with Surgical Decision-Making in the Context of Dementia
Rachel R Adler, Richard E Chunga, Joely A Centracchio, et al.
Nature Biotechnology
|
October 18, 2023
Author Correction: Efficient C•G-to-G•C base editors developed using CRISPRi screens, target-library analysis, and machine learning
Luke W Koblan, Mandana Arbab, Max W Shen, et al.
Nature Biotechnology
|
June 29, 2021
Efficient C•G-to-G•C base editors developed using CRISPRi screens, target-library analysis, and machine learning
Luke W Koblan, Mandana Arbab, Max W Shen, et al.
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of 71
Search research articles
Search
Showing results (631-640 of 709) with videos related to
Sort By:
Page
of 71
Journal of Consulting and Clinical Psychology
|
August 24, 2018
When the torch is passed, does the flame still burn? Testing a "train the supervisor" model for the Child STEPs treatment program
John R Weisz, Ana M Ugueto, Jenny Herren, et al.
Cell Genomics
|
November 16, 2022
Dual genome-wide coding and lncRNA screens in neural induction of induced pluripotent stem cells
David Wu, Aunoy Poddar, Elpiniki Ninou, et al.
Science (New York, N.Y.)
|
July 24, 2025
High-resolution spatial mapping of cell state and lineage dynamics in vivo with PEtracer
Luke W Koblan, Kathryn E Yost, Pu Zheng, et al.
Biorxiv : the Preprint Server for Biology
|
July 15, 2025
High-resolution spatial mapping of cell state and lineage dynamics <i>in vivo</i> with PEtracer
Luke W Koblan, Kathryn E Yost, Pu Zheng, et al.
Science (New York, N.Y.)
|
September 27, 2008
Conservation and rewiring of functional modules revealed by an epistasis map in fission yeast
Assen Roguev, Sourav Bandyopadhyay, Martin Zofall, et al.
Medical Care
|
June 27, 2017
Randomized Trial of Reducing Ambulatory Malpractice and Safety Risk: Results of the Massachusetts PROMISES Project
Gordon D Schiff, Harry Reyes Nieva, Paula Griswold, et al.
Nature Communications
|
August 14, 2025
Large-scale CRISPR screening in primary human 3D gastric organoids enables comprehensive dissection of gene-drug interactions
Yuan-Hung Lo, Hudson T Horn, Mo-Fan Huang, et al.
Annals of Surgery
|
September 12, 2025
Patient and Caregiver Experiences with Surgical Decision-Making in the Context of Dementia
Rachel R Adler, Richard E Chunga, Joely A Centracchio, et al.
Nature Biotechnology
|
October 18, 2023
Author Correction: Efficient C•G-to-G•C base editors developed using CRISPRi screens, target-library analysis, and machine learning
Luke W Koblan, Mandana Arbab, Max W Shen, et al.
Nature Biotechnology
|
June 29, 2021
Efficient C•G-to-G•C base editors developed using CRISPRi screens, target-library analysis, and machine learning
Luke W Koblan, Mandana Arbab, Max W Shen, et al.
Page
of 71