"methods for reading" is a grammatically correct phrase and can be used in written English.
It refers to different techniques or strategies used for reading. It can be used in various contexts, such as in education, literature, or research. Example: The teacher provided her students with various methods for reading, including skimming, scanning, and close reading, to help them improve their comprehension skills.
The Touch ID sensor uses two methods for reading a fingerprint.
Last year, in the Principles of Neuroengineering class, students designed never-before-seen methods for reading out brain activity in a wearable device, delivering therapeutic genes to specific cell types in the nervous system, and precisely measuring blood flow in the brain.
Although the HTTP/1.1 protocol already supports methods for reading (GET), writing (POST/PUT) and deleting (DELETE) resources, our resource federation system requires additional methods.
Furthermore, methods for reading (PROPFIND) and updating (PROPPATCH) metadata of resources are supported which allows to represent resources and corresponding arbitrary metadata with one URIb even when they are stored at different locations.
An example is a SeqIOTool25 class which contains methods for reading GenBank, SwissProt, and EMBL files.
Ask about any questions you have with the text and ask for suggestions regarding methods for reading as well as particularly important books or passages.
Similarity-based methods, using homology search algorithms such as BLAST (Altschul et al., 1990), are considered the most sensitive methods for read classification (Brady and Salzberg, 2009).
Please remember that the Gmail web interface is CUIT's only fully supported method for reading LionMail.
The Facial Action Coding System (FACS) developed by Paul Ekman is a method for reading intentions, feelings, and motives from fleeting facial expressions.
They contacted Hewlett-Packard, which had developed a method for reading eroded cuneiform tablets that involved building up a composite computer image from pictures taken under light from a wide variety of directions, to reveal more of the inscriptions.
After just four days' practice, Terrapattern's A.I. had developed a powerful method for reading satellite imagery, separating it into small tiles and decomposing each one into information about shape, color, contrast, and texture, then reassembling it into meaning through layers of probability and comparison, all in a matter of seconds.
