找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Bioinformatics Research and Applications; 15th International S Zhipeng Cai,Pavel Skums,Min Li Conference proceedings 2019 Springer Nature S

[復(fù)制鏈接]
樓主: DEIGN
31#
發(fā)表于 2025-3-27 00:39:59 | 只看該作者
32#
發(fā)表于 2025-3-27 04:18:26 | 只看該作者
https://doi.org/10.1007/978-90-313-6360-5 to reveal the dependency relationship between genotypes and phenotypes. Furthermore, a genomic data sanitization method is proposed to protect against optimal inference attacks launched by powerful attackers.
33#
發(fā)表于 2025-3-27 05:52:29 | 只看該作者
34#
發(fā)表于 2025-3-27 12:16:14 | 只看該作者
35#
發(fā)表于 2025-3-27 13:57:34 | 只看該作者
Sorting by Reversals, Transpositions, and Indels on Both Gene Order and Intergenic Sizesom intergenic regions of the genome, respectively. We study problems considering both gene order and intergenic regions size. We investigate the reversal distance between two genomes in two scenarios: with and without non-conservative events. For both problems, we show that they belong to NP-hard pr
36#
發(fā)表于 2025-3-27 18:54:09 | 只看該作者
37#
發(fā)表于 2025-3-28 00:30:15 | 只看該作者
38#
發(fā)表于 2025-3-28 03:16:40 | 只看該作者
Gene- and Pathway-Based Deep Neural Network for Multi-omics Data Integration to Predict Cancer Surviet captures nonlinear effects of multi-omics data to survival outcomes via a neural network framework, while allowing one to biologically interpret the model. In the extensive experiments with multi-omics data of Gliblastoma multiforme (GBM) patients, MiNet outperformed the current cutting-edge meth
39#
發(fā)表于 2025-3-28 07:06:24 | 只看該作者
40#
發(fā)表于 2025-3-28 13:55:41 | 只看該作者
Deep Learning and Random Forest-Based Augmentation of sRNA Expression Profiles accuracy for tissue groups is 98% (DL), for tissues - 96.5% (DL), and for sex - 77% (DL). The “one dataset out” average accuracy for tissue group prediction is 83% (DL) and 59% (RF). On average, DL provides better results as compared to RF, and considerably improves classification performance for ‘
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-14 09:46
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
惠州市| 南部县| 丰镇市| 华坪县| 大关县| 红安县| 凤山县| 汝州市| 忻城县| 广东省| 兴安盟| 临武县| 通江县| 固始县| 金平| 定远县| 象州县| 五家渠市| 休宁县| 北京市| 都江堰市| 韶关市| 离岛区| 荔浦县| 介休市| 克拉玛依市| 漳浦县| 封丘县| 科尔| 曲水县| 屯门区| 万荣县| 湖南省| 延川县| 赤城县| 邹城市| 武山县| 三台县| 长顺县| 屏山县| 延长县|