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公开(公告)号:US12051496B2
公开(公告)日:2024-07-30
申请号:US17256256
申请日:2019-06-26
IPC分类号: G16H20/40
CPC分类号: G16H20/40
摘要: Methods and apparatus for identifying alternative splicing events. The method comprises receiving a dataset of percent spliced in (PS I) values for each of a plurality of biological samples, wherein the plurality of biological samples includes a first population of samples having a first characteristic and a second population of samples having a second characteristic different from the first characteristic, fitting, to the dataset, a probabilistic model to identify clusters of samples in the dataset, calculating cluster characteristics for each of the clusters, filtering the clusters based, at least in part, on the cluster characteristics to identify a subset of clusters, each of which is associated with an alternative splicing event, and storing on the at least one storage device, information associated with the identified alternative splicing events.
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公开(公告)号:US11674187B2
公开(公告)日:2023-06-13
申请号:US17253974
申请日:2019-06-28
发明人: Jacques Banchereau , Diogo Fernando Troggian Veiga , Anne Deslattes Mays , Saman Zeeshan , Anna Karolina Palucka
IPC分类号: C12Q1/6886
CPC分类号: C12Q1/6886 , C12Q2600/158
摘要: Provided herein, in some embodiments, are methods, compositions, and systems for identifying alternatively spliced tumor-specific exon inclusion and exclusion events that can be used for survival prognosis.
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公开(公告)号:US20210254176A1
公开(公告)日:2021-08-19
申请号:US17253974
申请日:2019-06-28
发明人: Jacques Banchereau , Diogo Fernando Troggian Veiga , Anne Deslattes Mays , Saman Zeeshan , Anna Karolina Palucka
IPC分类号: C12Q1/6886
摘要: Provided herein, in some embodiments, are methods, compositions, and systems for identifying alternatively spliced tumor-specific exon inclusion and exclusion events that can be used for survival prognosis.
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公开(公告)号:US20210233640A1
公开(公告)日:2021-07-29
申请号:US17256256
申请日:2019-06-26
IPC分类号: G16H20/40
摘要: Methods and apparatus for identifying alternative splicing events. The method comprises receiving a dataset of percent spliced in (PSI) values for each of a plurality of biological samples, wherein the plurality of biological samples includes a first population of samples having a first characteristic and a second population of samples having a second characteristic different from the first characteristic, fitting, to the dataset, a probabilistic model to identify clusters of samples in the dataset, calculating cluster characteristics for each of the clusters, filtering the clusters based, at least in part, on the cluster characteristics to identify a subset of clusters, each of which is associated with an alternative splicing event, and storing on the at least one storage device, information associated with the identified alternative splicing events.
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