From 08b74bb370d2639048506570bb10aeb8cdd3fe1f Mon Sep 17 00:00:00 2001 From: coolneng Date: Mon, 5 Jul 2021 02:38:37 +0200 Subject: [PATCH] Add locimend training description --- Dissertation.org | 13 +++++++++++++ Dissertation.pdf | Bin 1284122 -> 1285694 bytes 2 files changed, 13 insertions(+) diff --git a/Dissertation.org b/Dissertation.org index 2cd9bea..3415da4 100644 --- a/Dissertation.org +++ b/Dissertation.org @@ -338,6 +338,19 @@ El objetivo de este proyecto es crear un modelo que pueda inferir la secuencia c - Biopython: manipulación de secuencias ómicas cite:Cock_2009 *** Funcionalidades + +El entrenamiento del modelo se realiza, a partir de 2 archivos FASTQ, en diferentes pasos: + +1. Lectura de ambos archivos FASTQ, secuencia de CDR3 correcta y secuencia de CDR3 con errores, a la vez para obtener las /features/ y el /label/ a la vez +2. Alineamiento de la secuencia correcta y de la secuencia con errores, para obtener entradas de la misma longitud +3. Codificación basada en el índice de las secuencias de ADN, para obtener secuencias numéricas +4. Conversión de las secuencias numéricas al formato binario TFRecord (basado en /Protocol Buffers/) +5. Separación y almacenamiento del /dataset/ en conjunto de entrenamiento, validación y test +6. Lectura paralela de los conjuntos del /dataset/ +7. /One-hot encoding/ de las secuencias numéricas, las cuales representan las secuencias de ADN +8. Entrenamiento del algoritmo de /Deep Learning/, con los datos preprocesados +9. Obtención de las métricas que miden el rendimiento del modelo + ** Reproducibilidad * Resultados * Conclusiones diff --git a/Dissertation.pdf b/Dissertation.pdf index d2c41cf2faa76398a18271fe12781a6076271db2..93d2543fad3a3df37ec4246bfef00925ab5af64f 100644 GIT binary patch delta 35270 zcmYhCLtrJ0vV_BlZDZnOVmlMtwr%sowr$(CZQHg_H1A)$#ohI)YujH{b!NR>Z?~L( zFlaDXFnBOTFl6wrV5nf|V3=UoV7OrTV1!`AV5DH=V3cOmzaju8E>=cMyV(iDasc{{Ap9S^wR|+nRGj_S}mSuHv*_KkA4?s(;h#)PW&P zt#k|M00E^f-z%50b9r|{ZgZWx?Au|&x^u~FuR*-^u?MMm!0#@rIYi*3(PWsJ--`2 zPwT#No|+HE7;c}1bwAe9uJeYqa$r`(xr^hP?jY9v!=IS^8F}ozFiQA4V#P*bBNW-f z;Pmnk2F4V|L((Q9ey@pK_Q+yx)Tam*2^NNvE$$`%3?KmfXE6wf*ayC3*Lo{qXaH*o zvFlHZSD*4Q?XxbEsi+ZdUzT6Q>WPaxueLe8zIBD-Zv)FM;w5002j_OZhs2u_cEr$V&#uwCDi3c%ehC)X;mbu#oxSA4p zo{2jSD}Mq*&-OfOG6x-0f(bdp#W1FMC!FvtI)YP&9*eWq(RWzJCcO37n?bF}R|+cW z>`r!_22qSMOj{o}MU^uZ?L0C!&j~5Ovrk8vtl-K_>@=H^b`_kI$82UxAzC4&fp6O8 zUa)|joxU74J{-^nlTpIzi{40-Yw@$LzOKElIe8_@OF}WM;u5bL@m&=Ij9OI_4P9p! 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