Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Zhanlin Chen"'
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-13 (2022)
In the era of single-cell sequencing, there is a growing need to extract insights from data with clustering methods. Here, inspired by forest fire dynamics, the authors devise an algorithm that can cluster single-cell data with minimal prior assumpti
Externí odkaz:
https://doaj.org/article/b57f40c651f447d48f8acfeb8201e8df
Publikováno v:
Molecules, Vol 28, Iss 7, p 2987 (2023)
A highly efficient visible-light-driven photoanode, N2-intercalated tungsten trioxide (WO3) nanorod, has been controllably synthesized by using the dual role of hydrazine (N2H4), which functioned simultaneously as a structure directing agent and as a
Externí odkaz:
https://doaj.org/article/338e425922d54e5d87b101c6f0901bf5
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-15 (2020)
Abstract Background During transcription, numerous transcription factors (TFs) bind to targets in a highly coordinated manner to control the gene expression. Alterations in groups of TF-binding profiles (i.e. “co-binding changes”) can affect the
Externí odkaz:
https://doaj.org/article/e96a1fd0895d48698bb3580f3a653e9d
Publikováno v:
Nanomaterials, Vol 12, Iss 12, p 2079 (2022)
In this work, a highly efficient wide-visible-light-driven photoanode, namely, nitrogen and sulfur co-doped tungsten trioxide (S-N-WO3), was synthesized using tungstic acid (H2WO4) as W source and ammonium sulfide ((NH4)2S), which functioned simultan
Externí odkaz:
https://doaj.org/article/bcc640415e584451ae933f2921a2a354
Autor:
Shreyansh Daftry, Zhanlin Chen, Yang Cheng, Scott Tepsuporn, Shehryar Khattak, Larry Matthies, Brian Coltin, Ussama Naal, Lanssie Mingyue Ma, Matthew Deans
The Artemis program requires robotic and crewed lunar rovers for resource prospecting and exploitation, construction and maintenance of facilities, and human exploration. These rovers must support navigation for 10s of kilometers (km) from base camps
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8d3916c28cf53b1ad7032e4c20911a5
Autor:
Joel Rozowsky, Jiahao Gao, Beatrice Borsari, Yucheng T. Yang, Timur Galeev, Gamze Gürsoy, Charles B. Epstein, Kun Xiong, Jinrui Xu, Tianxiao Li, Jason Liu, Keyang Yu, Ana Berthel, Zhanlin Chen, Fabio Navarro, Maxwell S. Sun, James Wright, Justin Chang, Christopher J.F. Cameron, Noam Shoresh, Elizabeth Gaskell, Jorg Drenkow, Jessika Adrian, Sergey Aganezov, François Aguet, Gabriela Balderrama-Gutierrez, Samridhi Banskota, Guillermo Barreto Corona, Sora Chee, Surya B. Chhetri, Gabriel Conte Cortez Martins, Cassidy Danyko, Carrie A. Davis, Daniel Farid, Nina P. Farrell, Idan Gabdank, Yoel Gofin, David U. Gorkin, Mengting Gu, Vivian Hecht, Benjamin C. Hitz, Robbyn Issner, Yunzhe Jiang, Melanie Kirsche, Xiangmeng Kong, Bonita R. Lam, Shantao Li, Bian Li, Xiqi Li, Khine Zin Lin, Ruibang Luo, Mark Mackiewicz, Ran Meng, Jill E. Moore, Jonathan Mudge, Nicholas Nelson, Chad Nusbaum, Ioann Popov, Henry E. Pratt, Yunjiang Qiu, Srividya Ramakrishnan, Joe Raymond, Leonidas Salichos, Alexandra Scavelli, Jacob M. Schreiber, Fritz J. Sedlazeck, Lei Hoon See, Rachel M. Sherman, Xu Shi, Minyi Shi, Cricket Alicia Sloan, J Seth Strattan, Zhen Tan, Forrest Y. Tanaka, Anna Vlasova, Jun Wang, Jonathan Werner, Brian Williams, Min Xu, Chengfei Yan, Lu Yu, Christopher Zaleski, Jing Zhang, Kristin Ardlie, J Michael Cherry, Eric M. Mendenhall, William S. Noble, Zhiping Weng, Morgan E. Levine, Alexander Dobin, Barbara Wold, Ali Mortazavi, Bing Ren, Jesse Gillis, Richard M. Myers, Michael P. Snyder, Jyoti Choudhary, Aleksandar Milosavljevic, Michael C. Schatz, Bradley E. Bernstein, Roderic Guigó, Thomas R. Gingeras, Mark Gerstein
Understanding how genetic variants impact molecular phenotypes is a key goal of functional genomics, currently hindered by reliance on a single haploid reference genome. Here, we present the EN-TEx resource of 1,635 open-access datasets from four don
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::464939170ba93b49ee4e474d325702f1
http://hdl.handle.net/10230/56942
http://hdl.handle.net/10230/56942
Publikováno v:
Science Advances. 8
Recent advances in single-cell sequencing technologies have provided unprecedented opportunities to measure the gene expression profile and RNA velocity of individual cells. However, modeling transcriptional dynamics is computationally challenging be
Autor:
Dong-Hoon Lee, Jing Zhang, Min Xu, Yi Dai, Martin Renqiang Min, Jason Liu, Mark Gerstein, Zhanlin Chen
Publikováno v:
Bioinformatics
Motivation Mapping distal regulatory elements, such as enhancers, is a cornerstone for elucidating how genetic variations may influence diseases. Previous enhancer-prediction methods have used either unsupervised approaches or supervised methods with
Autor:
Joel Rozowsky, Jorg Drenkow, Yucheng T Yang, Gamze Gursoy, Timur Galeev, Beatrice Borsari, Charles B Epstein, Kun Xiong, Jinrui Xu, Jiahao Gao, Keyang Yu, Ana Berthel, Zhanlin Chen, Fabio Navarro, Jason Liu, Maxwell S Sun, James Wright, Justin Chang, Christopher JF Cameron, Noam Shoresh, Elizabeth Gaskell, Jessika Adrian, Sergey Aganezov, François Aguet, Gabriela Balderrama-Gutierrez, Samridhi Banskota, Guillermo Barreto Corona, Sora Chee, Surya B Chhetri, Gabriel Conte Cortez Martins, Cassidy Danyko, Carrie A Davis, Daniel Farid, Nina P Farrell, Idan Gabdank, Yoel Gofin, David U Gorkin, Mengting Gu, Vivian Hecht, Benjamin C Hitz, Robbyn Issner, Melanie Kirsche, Xiangmeng Kong, Bonita R Lam, Shantao Li, Bian Li, Tianxiao Li, Xiqi Li, Khine Zin Lin, Ruibang Luo, Mark Mackiewicz, Jill E Moore, Jonathan Mudge, Nicholas Nelson, Chad Nusbaum, Ioann Popov, Henry E Pratt, Yunjiang Qiu, Srividya Ramakrishnan, Joe Raymond, Leonidas Salichos, Alexandra Scavelli, Jacob M Schreiber, Fritz J Sedlazeck, Lei Hoon See, Rachel M Sherman, Xu Shi, Minyi Shi, Cricket Alicia Sloan, J Seth Strattan, Zhen Tan, Forrest Y Tanaka, Anna Vlasova, Jun Wang, Jonathan Werner, Brian Williams, Min Xu, Chengfei Yan, Lu Yu, Christopher Zaleski, Jing Zhang, Kristin Ardlie, J Michael Cherry, Eric M Mendenhall, William S Noble, Zhiping Weng, Morgan E Levine, Alexander Dobin, Barbara Wold, Ali Mortazavi, Bing Ren, Jesse Gillis, Richard M Myers, Michael P Snyder, Jyoti Choudhary, Aleksandar Milosavljevic, Michael C Schatz, Roderic Guigó, Bradley E Bernstein, Thomas R Gingeras, Mark Gerstein
Understanding how genetic variants impact molecular phenotypes is a key goal of functional genomics, currently hindered by reliance on a single haploid reference genome. Here, we present the EN-TEx resource of personal epigenomes, for ∼25 tissues a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f293c3be99001dfcca0596fbe318c048
https://doi.org/10.1101/2021.04.26.441442
https://doi.org/10.1101/2021.04.26.441442
In the era of single-cell sequencing, there is a growing need to extract insights from data with clustering methods. Here, we introduce Forest Fire Clustering, an efficient and interpretable method for cell-type discovery from single-cell data. Fores
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61881a285869401959cbb3201782e602