Biomedical Text Mining

· Methods in molecular biology 1. књига · Springer Nature
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321
Π‘Ρ‚Ρ€Π°Π½ΠΈΡ†Π°
ΠžΡ†Π΅Π½Π΅ ΠΈ Ρ€Π΅Ρ†Π΅Π½Π·ΠΈΡ˜Π΅ нису Π²Π΅Ρ€ΠΈΡ„ΠΈΠΊΠΎΠ²Π°Π½Π΅ Β Π‘Π°Π·Π½Π°Ρ˜Ρ‚Π΅ вишС

О овој С-књизи

This volume details step-by-step instructions on biomedical literature mining protocols. Chapters guide readers through various topics such as, disease comorbidity, literature-based discovery, protocols to combine literature mining, machine learning for predicting biomedical discoveries, and uncovering unknown public knowledge by combining two pieces of information from different sets of PubMed articles. Additional chapters discuss the importance of data science to understand outbreaks such as COVID-19. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols.

Authoritative and cutting-edge, Biomedical Text Mining aims to be a useful practical guide to researches to help further their studies.

ΠžΡ†Π΅Π½ΠΈΡ‚Π΅ ΠΎΠ²Ρƒ Π΅-ΠΊΡšΠΈΠ³Ρƒ

ΠˆΠ°Π²ΠΈΡ‚Π΅ Π½Π°ΠΌ својС ΠΌΠΈΡˆΡ™Π΅ΡšΠ΅.

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ΠœΠΎΠΆΠ΅Ρ‚Π΅ Π΄Π° ΡΠ»ΡƒΡˆΠ°Ρ‚Π΅ Π°ΡƒΠ΄ΠΈΠΎ-књигС ΠΊΡƒΠΏΡ™Π΅Π½Π΅ Π½Π° Google Play-Ρƒ ΠΏΠΎΠΌΠΎΡ›Ρƒ Π²Π΅Π±-ΠΏΡ€Π΅Π³Π»Π΅Π΄Π°Ρ‡Π° Π½Π° Ρ€Π°Ρ‡ΡƒΠ½Π°Ρ€Ρƒ.
Π•-Ρ‡ΠΈΡ‚Π°Ρ‡ΠΈ ΠΈ Π΄Ρ€ΡƒΠ³ΠΈ ΡƒΡ€Π΅Ρ’Π°Ρ˜ΠΈ
Π”Π° бистС Ρ‡ΠΈΡ‚Π°Π»ΠΈ Π½Π° ΡƒΡ€Π΅Ρ’Π°Ρ˜ΠΈΠΌΠ° којС користС Π΅-мастило, ΠΊΠ°ΠΎ ΡˆΡ‚ΠΎ су Kobo Π΅-Ρ‡ΠΈΡ‚Π°Ρ‡ΠΈ, Ρ‚Ρ€Π΅Π±Π° Π΄Π° ΠΏΡ€Π΅ΡƒΠ·ΠΌΠ΅Ρ‚Π΅ Ρ„Π°Ρ˜Π» ΠΈ прСнСсСтС Π³Π° Π½Π° ΡƒΡ€Π΅Ρ’Π°Ρ˜. ΠŸΡ€Π°Ρ‚ΠΈΡ‚Π΅ Π΄Π΅Ρ‚Π°Ρ™Π½Π° упутства ΠΈΠ· Ρ†Π΅Π½Ρ‚Ρ€Π° Π·Π° ΠΏΠΎΠΌΠΎΡ› Π΄Π° бистС ΠΏΡ€Π΅Π½Π΅Π»ΠΈ Ρ„Π°Ρ˜Π»ΠΎΠ²Π΅ Ρƒ ΠΏΠΎΠ΄Ρ€ΠΆΠ°Π½Π΅ Π΅-Ρ‡ΠΈΡ‚Π°Ρ‡Π΅.
ΠŸΡ€ΠΈΡ˜Π°Π²ΠΈΡ‚Π΅ Π½Π΅Π·Π°ΠΊΠΎΠ½ΠΈΡ‚ ΡΠ°Π΄Ρ€ΠΆΠ°Ρ˜

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