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Frontiers in Genetics
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#1Michela BottaniH-Index: 4
#2Giuseppe BanfiH-Index: 34
Last.Giovanni LombardiH-Index: 22
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#1Pengyu ChenH-Index: 5
Last.Guanglin HeH-Index: 10
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#1Zhong Wan (CSU: Central South University)
#2Jiayi Tang (CSU: Central South University)
Last.Shaojun Liu (Hunan Normal University)H-Index: 20
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It has been shown that reciprocal cross allodiploid lineage with sub-genomes derived from the cross of \emph{Megalobrama amblycephala} (BSB)\times\emph{Culter alburnus} (TC) generates the variations in phenotypes and genotypes, but it is still a challenge to deeply mine biological information in the transcriptomic profile of this lineage owing to its genomic complexity and lack of efficient data mining methods. In this paper, we establish an optimization model by non-negative matrix factoriza...
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#1John M. MarshallH-Index: 20
#2Robyn RabanH-Index: 2
Last.Omar S. AkbariH-Index: 20
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#1Run YeH-Index: 3
Last.Weiqing PanH-Index: 5
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#1Ting Wang (Nanjing Medical University)H-Index: 9
#2Jun Ma (Nanjing Medical University)
Last.Benjing Wang (Nanjing Medical University)H-Index: 4
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Abstract Expanded newborn screening for inborn errors of metabolism (IEMs) by tandem mass spectrometry (MS/MS) could simultaneously analyze more than 40 metabolites and identify about 50 kinds of IEMs. Next generation sequencing (NGS) targeting hundreds of IMEs-associated genes as a follow-up test in expanded newborn screening has been used for genetic analysis of patients. The spectrum, prevalence, and genetic characteristic of IEMs vary dramatically in different populations. To determine the s...
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#1Rongrong WangH-Index: 2
#2Shirui HanH-Index: 1
Last.Xue ZhangH-Index: 30
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#1Marc S. WilliamsH-Index: 36
Last.Guilherme Del FiolH-Index: 15
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