Your English writing platform
Free sign upExact(2)
1. Collecting data The initial step for all researchers who work with BSD is to collect needed datasets for analysis.
While such experiments only require common equipment and well-established procedures, many of the needed datasets can be found in publicly available databases of transcription profiling and methylation experiments.
Similar(58)
However, both CNV-seq (Xie and Tammi, 2009) and SegSeq (Chiang et al., 2009) need datasets for the given tumor and its paired normal DNA.
Statistical evaluation studies for lincRNAs are urgently needed, as datasets produced by these various methods have thus far shown only modest overlaps in their identified lincRNAs [ 14].
We hope this report would also provide a much needed starting dataset for experimental biologists for validating and elucidating potential molecular mechanisms.
In order to detect signals in nucleotide sequences that might be important in controlling OR transcription, we needed a dataset of well-defined OR transcription start sites (TSSs).
The program only needs two datasets for initialization: a set of contigs and a 3C/HiC dataset.
For this to work, you need the datasets to contain matching IDs and cover the same time period.
Learning like this is hard: you need huge datasets to train on, lots of processing power, and weeks of expert tweaking.
True, most deep-learning algorithms need large datasets.
What's more, to do anything really interesting, sheer brainpower won't be enough; you'll need massive datasets, to train your system.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com