Professor | Tian Chan | Asia Growth Partners

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Name	Tian Chan
Contact Information	tianchan@bjmu.edu.cn
Language ability	Chinese, English
Province	Beijing

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Name

Tian Chan

Contact Information

tianchan@bjmu.edu.cn

Language ability

Chinese, English

Province

Beijing

University/Lab Affiliation and Title	Peking University
Faculty	Basic Medical Sciences
Awards	National Youth Post Expert Central State Organ Youth Post Expert Second Prize of the Chinese Preventive Medicine Association Science and Technology Award Third Prize of the Chinese Medical Science and Technology Award Second Prize for Scientific and Technological Progress in Higher Education

University/Lab Affiliation and Title

Peking University

Faculty

Basic Medical Sciences

Awards

National Youth Post Expert
Central State Organ Youth Post Expert
Second Prize of the Chinese Preventive Medicine Association Science and Technology Award
Third Prize of the Chinese Medical Science and Technology Award
Second Prize for Scientific and Technological Progress in Higher Education

Areas of Focus	Reproductive Genetics Prenatal Diagnosis Genetic Diagnosis Mechanisms of Birth Defects Development of New Genetic Diagnostic Methods Genetic Factors in Reproductive Disorders
Publications	DeepACEv2: Automated chromosome enumeration in metaphase cell images using deep convolutional neural networks, Xiao L, Luo C, Yu T, Luo Y, Wang MQ, Yu FH, Li YH, Tian C, Qiao J, 2020 Evidence of Compliance With and Effectiveness of Guidelines for Noninvasive Prenatal Testing in China: A Retrospective Study of 189,809 Cases, Tian C, Deng T, Zhu XH, Gong C, Zhao YY, Wei Y, Li R, Xu XF, He MN, Zhang ZW, Cheng J, Ben Willem Mol, Qiao J, 2020 A case report and mechanism analysis of a normal phenotype mosaic 47, XXY complicated by paternal iUPD (9) who had a normal PGD result, Li D, Wang Y, Zhao N, Chang L, Liu P, Tian C, Qiao J, 2019 ULK1 phosphorylates Mad1 to regulate spindle assembly checkpoint, Yuan F, Jin X, Li D, Song Y, Zhang N, Yang X, Wang L, Zhu WG, Tian C, Zhao Y, 2019 DeepACE: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks, Xiao L, Luo C, Yu T, Luo Y, Tian C, Qiao J, Zhao Y, 2019

Areas of Focus

Reproductive Genetics
Prenatal Diagnosis
Genetic Diagnosis
Mechanisms of Birth Defects
Development of New Genetic Diagnostic Methods
Genetic Factors in Reproductive Disorders

Publications

DeepACEv2: Automated chromosome enumeration in metaphase cell images using deep convolutional neural networks, Xiao L, Luo C, Yu T, Luo Y, Wang MQ, Yu FH, Li YH, Tian C, Qiao J, 2020
Evidence of Compliance With and Effectiveness of Guidelines for Noninvasive Prenatal Testing in China: A Retrospective Study of 189,809 Cases, Tian C, Deng T, Zhu XH, Gong C, Zhao YY, Wei Y, Li R, Xu XF, He MN, Zhang ZW, Cheng J, Ben Willem Mol, Qiao J, 2020
A case report and mechanism analysis of a normal phenotype mosaic 47, XXY complicated by paternal iUPD (9) who had a normal PGD result, Li D, Wang Y, Zhao N, Chang L, Liu P, Tian C, Qiao J, 2019
ULK1 phosphorylates Mad1 to regulate spindle assembly checkpoint, Yuan F, Jin X, Li D, Song Y, Zhang N, Yang X, Wang L, Zhu WG, Tian C, Zhao Y, 2019
DeepACE: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks, Xiao L, Luo C, Yu T, Luo Y, Tian C, Qiao J, Zhao Y, 2019

Genetics Reproduction Dna Diagnosis Birth Defects Research Development Prenatal Disorders Methods

Xunde Xian - Peking University

Zebin Mao - Peking University

Ling Liang - Peking University

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