step returns the ‘default’ phylogenetic tree. During this second step of cluster removal, a mean of 2% of all mutations were removed (median = 0%) across 401 TRACERx phylogenies. The last step corresponds to the enumeration of multiple plausible phylogenetic trees. In fact, given a ...
Indeed, the functional annotation of dark proteins, even from a purely computational perspective, requires a combination of data sources and approaches. It is crucial to combine individual predictions across connections in the network to increase the confidence of any hypothesis. Most of our examples ...
mutation of either Keap1 and NRF2 in RCC is a very rare event (Supplemental TableS2) and the mutant cohorts were too small to form meaningful evaluation of the role of their mutations in RCC. We now provide several relevant publications that are worthy of further reading [113...
First, automatic summarization is used to reduce the quantity of information requiring annotation to what is relevant. Secondly, the Human-in-the-Loop (HITL) concept is applied to tackle the semi-automatic annotation of the relevant information previously filtered by the automatic summary. The HITL...
Separating the Annotation and Warning Contexts Enabling nullable reference types via the #nullable enable directive (or the <Nullable>enable</Nullable> project setting) does two things: It enables the nullable annotation context, which tells the compiler to treat all reference-type variable declarations...
However, the corresponding gene was not included during annotation of the more recent genome sequencing of C. crescentus (NA1000 strain). In the chromosome of NA1000, an open reading frame (CCNA_03001) was proposed to be located between genes CCNA_03000 (corresponding to CC2906) and CCNA_...
The amount of data produced within Health Informatics has grown to be quite vast, and analysis of this Big Data grants potentially limitless possibilities for knowledge to be gained. In addition, this information can improve the quality of healthcare off
(2012). Evaluating the meaning of answers to reading comprehension questions: a semantics-based approach. In J. Tetreault, J. Burstein, C. Leacock (Eds.), Proceedings of the 7th workshop on building educational applications using NLP (pp. 326–336). Montreal: Association for Computational ...
Machine-learning algorithms trained with retinal fundus images, with subject metadata or with both data types, predict haemoglobin concentration with mean absolute errors lower than 0.75 g dl–1and anaemia with areas under the curve in the range of 0.74–0.89. ...
Annotation and analysis of ChIP peaks was performed with ChIPseeker v1.22.1 and ChIPpeakAnno v3.20.1. ChIP peaks were annotated to the closest gene from Ensembl (GRCm38.89). Motif analysis of regions occupied by ChIP peaks was performed using MEME-suite v4.12.0. For the classification of ...