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We developed similarity core analysis (SCA), a universal and unsupervised computational framework for extracting core molecular features common to tumors and cell lines.
Sarcoidosis and tuberculosis share epidemiological, immunological, and molecular features common to both, and often, it becomes difficult to differentiate them especially in a highly endemic country like India [1, 2].
Sarcoidosis and tuberculosis (TB) share epidemiological, immunological, and molecular features common to both, and often, it becomes difficult to differentiate them especially in a highly TB-endemic country like India.
It is increasingly apparent that ovarian cancer is a complex series of distinct tumour types [1], requiring therapies that target molecular features common to the subtypes of the disease.
For lipidomics data, chromatogram alignment, blank and chemical noise subtraction and subsequent peak selection were achieved with Refiner MS 6.0 (Genedata, Basel, Switzerland), to obtain a list of molecular features common to each set of mice (61).
The frequency of certain molecular features common amongst DIPG such as histone H3 mutations, PDGFRA gains/amplifications, ACVR1 and PIK3CA mutations were not enriched in patients with leptomeningeal dissemination.
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In addition, a subset of them was maintained in germinal niches of the post natal brain as proliferating progenitors that express several molecular features in common with aNSCs, including self renewal.
Although TrAP overexpression plants display molecular features in common with kyp mutant (i.e., reduced H3K9me2 levels), and an early flowering phenotype similar to loss-of-function mutant of the kyp paralog, SUVH2, the transgenic plants are phenotypically different from kyp single mutant.
Empirical development of predictive models assumes there are shared molecular features that are common to all, or most, sensitive or resistant cases.
Together these data show that subsets from different phenotypically defined HSC populations share common molecular features and can be retrospectively assigned to a common cell surface phenotype.
Based on the common molecular features that characterize the different families of ARV drugs, the present review describes state-of-the-art ARV DDS and thoroughly discusses the challenges in the development of medicines with enhanced biopharmaceutical properties.
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